P. Abbeel

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High-Dimensional Continuous Control Using Generalized Advantage Estimation pdf

Sergey Levine, Michael I. Jordan, Pieter Abbeel, 2015, ICLR.

Trust Region Policy Optimization pdf

Sergey Levine, Michael I. Jordan, Pieter Abbeel, 2015, ICML.

Using inaccurate models in reinforcement learning

Pieter Abbeel, Andrew Y. Ng, Morgan Quigley, 2006, ICML.

Variational Information Maximizing Exploration

J. Schulman, P. Abbeel, Rein Houthooft, 2016 .

Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics

Sergey Levine, Pieter Abbeel, S. Levine, 2014, NIPS.

Learning dexterous manipulation for a soft robotic hand from human demonstrations

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Gradient Estimation Using Stochastic Computation Graphs

Pieter Abbeel, Nicolas Heess, John Schulman, 2015, NIPS.

Reinforcement Learning with Deep Energy-Based Policies

Sergey Levine, Pieter Abbeel, Haoran Tang, 2017, ICML.

LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information

P. Abbeel, Ken Goldberg, J. van den Berg, 2011 .

Equivalence Between Policy Gradients and Soft Q-Learning pdf

Pieter Abbeel, Xi Chen, John Schulman, 2017, ArXiv.

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

Sergey Levine, Pieter Abbeel, Matthew J. Johnson, 2018, ICML.

Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders pdf

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, ArXiv.

Exploration and apprenticeship learning in reinforcement learning

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2005, ICML.

Guiding Policies with Language via Meta-Learning pdf

John DeNero, Sergey Levine, Pieter Abbeel, 2018, ICLR.

Uncertainty-Aware Reinforcement Learning for Collision Avoidance pdf

Sergey Levine, Pieter Abbeel, Gregory Kahn, 2017, ArXiv.

Autonomous Helicopter Aerobatics through Apprenticeship Learning

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2010, Int. J. Robotics Res..

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

Sergey Levine, Pieter Abbeel, Gregory Kahn, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning

Trevor Darrell, Pieter Abbeel, Sanjay Krishnan, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Learning force-based manipulation of deformable objects from multiple demonstrations

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, NIPS.

Policy transfer via modularity and reward guiding

Pieter Abbeel, David Held, Ignasi Clavera, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion

Pieter Abbeel, Andrew Y. Ng, J. Zico Kolter, 2007, NIPS.

A textured object recognition pipeline for color and depth image data

Pieter Abbeel, Jie Tang, Stephen Miller, 2012, 2012 IEEE International Conference on Robotics and Automation.

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Pieter Abbeel, Xi Chen, Ilya Sutskever, 2016, NIPS.

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2018, ICML.

Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Motion planning with sequential convex optimization and convex collision checking

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, Int. J. Robotics Res..

Inferring Reward Functions from Demonstrators with Unknown Biases

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2018 .

Inverse Reinforcement Learning via Deep Gaussian Process pdf

Pieter Abbeel, Andreas Damianou, Ming Jin, 2015, UAI.

Accelerated Methods for Deep Reinforcement Learning pdf

Pieter Abbeel, Adam Stooke, P. Abbeel, 2018, ArXiv.

Reverse Curriculum Generation for Reinforcement Learning pdf

Pieter Abbeel, David Held, Markus Wulfmeier, 2017, CoRL.

Blue Gripper: A Robust, Low-Cost, and Force-Controlled Robot Hand

Pieter Abbeel, Menglong Guo, Stephen McKinley, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Tracking deformable objects with point clouds

Pieter Abbeel, John Schulman, Alex X. Lee, 2013, 2013 IEEE International Conference on Robotics and Automation.

Grounding spatial relations for human-robot interaction

Dan Klein, Trevor Darrell, Pieter Abbeel, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Adaptive Online Planning for Continual Lifelong Learning pdf

Pieter Abbeel, Igor Mordatch, Kevin Lu, 2019, ArXiv.

On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient

Pieter Abbeel, Jie Tang, P. Abbeel, 2010, NIPS.

Variational Lossy Autoencoder pdf

Pieter Abbeel, Xi Chen, Tim Salimans, 2016, ICLR.

Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks pdf

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, ArXiv.

Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Mutual Information Maximization for Robust Plannable Representations pdf

Pieter Abbeel, Ignasi Clavera, Yiming Ding, 2019, ArXiv.

Deep learning helicopter dynamics models

Pieter Abbeel, Ali Punjani, P. Abbeel, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Policy Learning with Continuous Memory States for Partially Observed Robotic Control pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2015, ArXiv.

Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping

Vijay Kumar, Nathan Michael, Pieter Abbeel, 2015, Robotics: Science and Systems.

Alpha-Beta Divergences Discover Micro and Macro Structures in Data

Pieter Abbeel, Ali Punjani, Karthik S. Narayan, 2015, ICML.

Performance analysis and terrain classification for a legged robot over rough terrain

Duncan W. Haldane, Ronald S. Fearing, Pieter Abbeel, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Preferences Implicit in the State of the World pdf

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2018, ICLR.

Inverse Reinforcement Learning

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2010, Encyclopedia of Machine Learning and Data Mining.

VIME: Variational Information Maximizing Exploration

Filip De Turck, Pieter Abbeel, Xi Chen, 2016, NIPS.

A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario

Ankush Gupta, Pieter Abbeel, John Schulman, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Generalization in Robotic Manipulation Through The Use of Non-Rigid Registration

J. Schulman, P. Abbeel, Jonathan Ho, 2013 .

Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight

Sergey Levine, Pieter Abbeel, Gregory Kahn, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Area Under Curve

Sanjoy Dasgupta, Hannu Toivonen, Pieter Abbeel, 2020, Encyclopedia of Machine Learning.

Transfer Learning for Estimating Causal Effects using Neural Networks pdf

Pieter Abbeel, Jasjeet S. Sekhon, Sören R. Künzel, 2018, ArXiv.

Using Classical Planners for Tasks with Continuous Operators in Robotics

Pieter Abbeel, Stuart J. Russell, Lorenzo Riano, 2013 .

Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines pdf

Alexandre M. Bayen, Pieter Abbeel, Sham M. Kakade, 2018, ICLR.

Mutual Alignment Transfer Learning pdf

Pieter Abbeel, Markus Wulfmeier, Ingmar Posner, 2017, CoRL.

Discriminative Training of Kalman Filters

Sebastian Thrun, Pieter Abbeel, Andrew Y. Ng, 2005, Robotics: Science and Systems.

Apprenticeship learning for helicopter control

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2009, CACM.

Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation

Ken Goldberg, Pieter Abbeel, Tianhao Zhang, 2017, ICRA.

Model-Based Reinforcement Learning via Meta-Policy Optimization pdf

Tamim Asfour, Pieter Abbeel, John Schulman, 2018, CoRL.

Optimized color models for high-quality 3D scanning

Pieter Abbeel, Karthik S. Narayan, P. Abbeel, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Overcoming Exploration in Reinforcement Learning with Demonstrations

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Machine Learning for Robotics

Pieter Abbeel, P. Abbeel, 2012, ECML/PKDD.

Gravity-Based Robotic Cloth Folding

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2010, WAFR.

Learning Factor Graphs in Polynomial Time & Sample Complexity

Pieter Abbeel, Andrew Y. Ng, Daphne Koller, 2005, UAI.

Monte Carlo Pose Estimation with Quaternion Kernels and the Bingham Distribution

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Stochastic Neural Networks for Hierarchical Reinforcement Learning pdf

Pieter Abbeel, Yan Duan, Carlos Florensa, 2016, ICLR.

Inverse Reward Design

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2017, NIPS.

Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Parametrized shape models for clothing

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2011, 2011 IEEE International Conference on Robotics and Automation.

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning pdf

Peter L. Bartlett, Pieter Abbeel, Xi Chen, 2016, ArXiv.

Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control

Allan Jabri, Sergey Levine, Pieter Abbeel, 2018, ICML.

Benchmarking Deep Reinforcement Learning for Continuous Control

Pieter Abbeel, Xi Chen, John Schulman, 2016, ICML.

Parameterized maneuver learning for autonomous helicopter flight

Pieter Abbeel, Jie Tang, Arjun Singh, 2010, 2010 IEEE International Conference on Robotics and Automation.

Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2016, ICML.

End-to-End Training of Deep Visuomotor Policies pdf

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, J. Mach. Learn. Res..

Learning Visual Servoing with Deep Features and Fitted Q-Iteration pdf

Sergey Levine, Pieter Abbeel, Alex X. Lee, 2017, ICLR.

One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, Robotics: Science and Systems.

Deep reinforcement learning for tensegrity robot locomotion

Sergey Levine, Pieter Abbeel, Vytas SunSpiral, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Learning contact-rich manipulation skills with guided policy search

Nolan Wagener, Sergey Levine, Pieter Abbeel, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Finding Locally Optimal, Collision-Free Trajectories with Sequential Convex Optimization

Pieter Abbeel, John Schulman, Alex X. Lee, 2013, Robotics: Science and Systems.

Apprenticeship learning via inverse reinforcement learning

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2004, ICML.

An Application of Reinforcement Learning to Aerobatic Helicopter Flight

Pieter Abbeel, Andrew Y. Ng, Morgan Quigley, 2006, NIPS.

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Sergey Levine, Pieter Abbeel, Aurick Zhou, 2018, ICML.

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2017, ICML.

Emergence of Grounded Compositional Language in Multi-Agent Populations pdf

Pieter Abbeel, Igor Mordatch, P. Abbeel, 2017, AAAI.

Prediction and Control with Temporal Segment Models

Pieter Abbeel, Igor Mordatch, Nikhil Mishra, 2017, ICML.

Meta-Reinforcement Learning of Structured Exploration Strategies

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2018, NeurIPS.

Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model pdf

Wojciech Zaremba, Pieter Abbeel, Igor Mordatch, 2016, ArXiv.

Learning to Adapt: Meta-Learning for Model-Based Control pdf

Sergey Levine, Ronald S. Fearing, Pieter Abbeel, 2018, ArXiv.

An algorithm for computing customized 3D printed implants with curvature constrained channels for enhancing intracavitary brachytherapy radiation delivery

J. Adam M. Cunha, Pieter Abbeel, Kenneth Y. Goldberg, 2013, 2013 IEEE International Conference on Automation Science and Engineering (CASE).

Scaling the mobile millennium system in the cloud

Alexandre M. Bayen, Pieter Abbeel, Michael J. Franklin, 2011, SoCC.

Path and travel time inference from GPS probe vehicle data

P. Abbeel, A. Bayen, Timothy Hunter, 2009 .

Stochastic Adversarial Video Prediction pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, ArXiv.

Autonomous Autorotation of an RC Helicopter

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2008, ISER.

Combined task and motion planning through an extensible planner-independent interface layer

Pieter Abbeel, Stuart J. Russell, Lorenzo Riano, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning modular neural network policies for multi-task and multi-robot transfer

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Active exploration using trajectory optimization for robotic grasping in the presence of occlusions

Pieter Abbeel, Julian Ryde, Kenneth Y. Goldberg, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

PLATO: Policy learning using adaptive trajectory optimization

Sergey Levine, Pieter Abbeel, Tianhao Zhang, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2016, ArXiv.

Learning for control from multiple demonstrations

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2008, ICML '08.

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models pdf

Sergey Levine, Pieter Abbeel, Bradly C. Stadie, 2015, ArXiv.

Hindsight Experience Replay

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, NIPS.

Deep spatial autoencoders for visuomotor learning

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

One-shot learning of manipulation skills with online dynamics adaptation and neural network priors

Sergey Levine, Pieter Abbeel, Justin Fu, 2015, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Domain randomization for transferring deep neural networks from simulation to the real world

Wojciech Zaremba, Pieter Abbeel, Jonas Schneider, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Automatic Goal Generation for Reinforcement Learning Agents pdf

Pieter Abbeel, David Held, Xinyang Geng, 2017, ICML.

Learning vehicular dynamics, with application to modeling helicopters

Pieter Abbeel, Andrew Y. Ng, Varun Ganapathi, 2005, NIPS.

Learning to Poke by Poking: Experiential Learning of Intuitive Physics pdf

Jitendra Malik, Sergey Levine, Pieter Abbeel, 2016, NIPS.

Model-Ensemble Trust-Region Policy Optimization pdf

Pieter Abbeel, Aviv Tamar, Yan Duan, 2018, ICLR.

Third-Person Imitation Learning pdf

Pieter Abbeel, Ilya Sutskever, Bradly C. Stadie, 2017, ICLR.

Safe Exploration in Markov Decision Processes pdf

Pieter Abbeel, Teodor Mihai Moldovan, P. Abbeel, 2012, ICML.

Learning first-order Markov models for control

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2004, NIPS.

Parameter Space Noise for Exploration pdf

Marcin Andrychowicz, Tamim Asfour, Pieter Abbeel, 2017, ICLR.

Learning Plannable Representations with Causal InfoGAN

Pieter Abbeel, Stuart J. Russell, Aviv Tamar, 2018, NeurIPS.

Autonomous multilateral debridement with the Raven surgical robot

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Gaussian Belief Space Planning for Imprecise Articulated Robots

J. Schulman, P. Abbeel, Ken Goldberg, 2013 .

Soft Actor-Critic Algorithms and Applications pdf

Henry Zhu, Sergey Levine, Sehoon Ha, 2018, ArXiv.

UCB EXPLORATION VIA Q-ENSEMBLES

Richard Y. Chen, J. Schulman, P. Abbeel, 2018 .

Collision-Free and Curvature-Continuous Path Smoothing in Cluttered Environments

P. Abbeel, N. Roy, H. Durrant-Whyte, 2012 .

Model-based reinforcement learning with parametrized physical models and optimism-driven exploration

Sergey Levine, Pieter Abbeel, Sachin Patil, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Multi-Arm Bandit Models for 2 D Sample Based Grasp Planning with Uncertainty

Florian T. Pokorny, P. Abbeel, Michael Laskey, 2015 .

The Off-Switch Game pdf

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2016, IJCAI.

Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding

Pieter Abbeel, Jeremy Maitin-Shepard, Marco Cusumano-Towner, 2010, 2010 IEEE International Conference on Robotics and Automation.

Yale-CMU-Berkeley dataset for robotic manipulation research

P. Abbeel, S. Srinivasa, Arjun Singh, 2017, Int. J. Robotics Res..

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design pdf

Pieter Abbeel, Xi Chen, Yan Duan, 2019, ICML.

Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014 .

Sequential quadratic programming for task plan optimization

Dylan Hadfield-Menell, Pieter Abbeel, Stuart J. Russell, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning pdf

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2017, ICLR.

A geometric approach to robotic laundry folding

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2012, Int. J. Robotics Res..

Constrained Policy Optimization

Pieter Abbeel, David Held, Aviv Tamar, 2017, ICML.

PixelSNAIL: An Improved Autoregressive Generative Model pdf

Pieter Abbeel, Xi Chen, Nikhil Mishra, 2017, ICML.

Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation

Pieter Abbeel, Anthony Sinclair, Stephen McKinley, 2019, 2019 International Conference on Robotics and Automation (ICRA).

LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2010, Int. J. Robotics Res..

Range sensor and silhouette fusion for high-quality 3D Scanning

Pieter Abbeel, Arjun Singh, Karthik S. Narayan, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Learning deep neural network policies with continuous memory states

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Identification and Representation of Homotopy Classes of Trajectories for Search-Based Path Planning in 3D

P. Abbeel, N. Roy, H. Durrant-Whyte, 2012 .

BigBIRD: A large-scale 3D database of object instances

Pieter Abbeel, Arjun Singh, Tudor Achim, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Multimodal blending for high-accuracy instance recognition

Pieter Abbeel, Arjun Singh, Justin Uang, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Gaussian belief space planning with discontinuities in sensing domains

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning from Demonstrations Through the Use of Non-rigid Registration

Pieter Abbeel, John Schulman, Jonathan Ho, 2013, ISRR.

DeepMimic

Sergey Levine, Pieter Abbeel, Michiel van de Panne, 2018, ACM Trans. Graph..

Optimism-driven exploration for nonlinear systems

Sergey Levine, Michael I. Jordan, Pieter Abbeel, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Adapting Deep Visuomotor Representations with Weak Pairwise Constraints

Sergey Levine, Trevor Darrell, Kate Saenko, 2015, WAFR.

Global Motion Planning under Uncertain Motion, Sensing, and Environment Map

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Asymmetric Actor Critic for Image-Based Robot Learning pdf

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, Robotics: Science and Systems.

Variable Skipping for Autoregressive Range Density Estimation pdf

Pieter Abbeel, Xi Chen, Eric Liang, 2020, ICML.

Combining self-supervised learning and imitation for vision-based rope manipulation

Jitendra Malik, Sergey Levine, Pieter Abbeel, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Enabling robots to communicate their objectives pdf

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2017, Autonomous Robots.

Domain Randomization and Generative Models for Robotic Grasping

Wojciech Zaremba, Pieter Abbeel, Joshua Tobin, 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Some Considerations on Learning to Explore via Meta-Reinforcement Learning pdf

Pieter Abbeel, Xi Chen, Ilya Sutskever, 2018, ICLR 2018.

Learning Robotic Manipulation through Visual Planning and Acting pdf

Pieter Abbeel, Aviv Tamar, Angelina Wang, 2019, Robotics: Science and Systems.

Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds

Pieter Abbeel, Teodor Mihai Moldovan, P. Abbeel, 2012, NIPS.

Cooperative Inverse Reinforcement Learning

Anca D. Dragan, Dylan Hadfield-Menell, Pieter Abbeel, 2016, NIPS.

An Algorithmic Perspective on Imitation Learning

Pieter Abbeel, Jan Peters, J. Andrew Bagnell, 2018, Found. Trends Robotics.

Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Apprenticeship learning for motion planning with application to parking lot navigation

Sebastian Thrun, Pieter Abbeel, Andrew Y. Ng, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, ICLR.

Adaptive Control Processes

Sanjoy Dasgupta, Hannu Toivonen, Pieter Abbeel, 2010, Encyclopedia of Machine Learning and Data Mining.

The limits and potentials of deep learning for robotics

Wolfram Burgard, Oliver Brock, Peter I. Corke, 2018, Int. J. Robotics Res..

Learning Robotic Assembly from CAD

Pieter Abbeel, Aviv Tamar, Garrett Thomas, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Predicting initialization effectiveness for trajectory optimization

Pieter Abbeel, Jia Pan, Zhuo Chen, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning from the hindsight plan — Episodic MPC improvement

Sergey Levine, Pieter Abbeel, Tianhao Zhang, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow pdf

Sergey Levine, Pieter Abbeel, Angjoo Kanazawa, 2018, ICLR.

Discriminative Probabilistic Models for Relational Data pdf

Ben Taskar, Pieter Abbeel, Daphne Koller, 2002, UAI.

Adversarial Attacks on Neural Network Policies pdf

Sandy H. Huang, Pieter Abbeel, Nicolas Papernot, 2017, ICLR.

The YCB object and Model set: Towards common benchmarks for manipulation research

Siddhartha S. Srinivasa, Pieter Abbeel, Aaron M. Dollar, 2015, 2015 International Conference on Advanced Robotics (ICAR).

A Biological Micro Actuator: Graded and Closed-Loop Control of Insect Leg Motion by Electrical Stimulation of Muscles

T. T. Vo Doan, P. Abbeel, M. Maharbiz, 2014, PloS one.

Deciphering the Role of a Coleopteran Steering Muscle via Free Flight Stimulation

Pieter Abbeel, Travis L. Massey, Chao Zhang, 2015, Current Biology.

Multi-armed bandit models for 2D grasp planning with uncertainty

Danica Kragic, Pieter Abbeel, Michael Laskey, 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization pdf

Kurt Keutzer, Joseph E. Gonzalez, Pieter Abbeel, 2019, MLSys.

LQG-Based Planning, Sensing, and Control of Steerable Needles

Pieter Abbeel, Kenneth Y. Goldberg, Ron Alterovitz, 2010, WAFR.

On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference pdf

Anca D. Dragan, Pieter Abbeel, Rohin Shah, 2019, ICML.

Max-margin Classification of Data with Absent Features

Pieter Abbeel, Gal Chechik, Daphne Koller, 2008, J. Mach. Learn. Res..

Time Complexity of Sensor-Based Vehicle Routing

Sebastian Thrun, Pieter Abbeel, Andrew Y. Ng, 2005 .

A single-use haptic palpation probe for locating subcutaneous blood vessels in robot-assisted minimally invasive surgery

Allison M. Okamura, Pieter Abbeel, Kenneth Y. Goldberg, 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation for Robot Learning

Gregory D. Hager, Pieter Abbeel, Sanjay Krishnan, 2017, ISRR.

Unmanned Aircraft Collision Avoidance Using Continuous-State POMDPs

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning pdf

Pieter Abbeel, Kimin Lee, Michael Laskin, 2020, ICML.

Real-Time Prioritized Kinematic Control under Inequality Constraints for Redundant Manipulators

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Exploiting Variable Stiffness in Explosive Movement Tasks

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Physics-based trajectory optimization for grasping in cluttered environments

Pieter Abbeel, Sachin Patil, Nikita Kitaev, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Efficient L1 Regularized Logistic Regression

Honglak Lee, Pieter Abbeel, Andrew Y. Ng, 2006, AAAI.

Planning Curvature and Torsion Constrained Ribbons in 3D With Application to Intracavitary Brachytherapy

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2015, IEEE Transactions on Automation Science and Engineering.

Geometric Programming for Aircraft Design Optimization

P. Abbeel, Warren W. Hoburg, 2014 .

Construction of Cubic Structures with Quadrotor Teams

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Gradescope: A Fast, Flexible, and Fair System for Scalable Assessment of Handwritten Work

Pieter Abbeel, Arjun Singh, Sergey Karayev, 2017, L@S.

Benchmarking in Manipulation Research

P. Abbeel, S. Srinivasa, Arjun Singh, 2015 .

Evaluating Protein Transfer Learning with TAPE

John Canny, Pieter Abbeel, Xi Chen, 2019, bioRxiv.

Toward asymptotically optimal motion planning for kinodynamic systems using a two-point boundary value problem solver

Pieter Abbeel, Jur P. van den Berg, Sachin Patil, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Deep Object-Centric Representations for Generalizable Robot Learning

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Apprenticeship learning and reinforcement learning with application to robotic control

Pieter Abbeel, P. Abbeel, 2008 .

Modular task and motion planning in belief space

Dylan Hadfield-Menell, Pieter Abbeel, Rohan Chitnis, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning from multiple demonstrations using trajectory-aware non-rigid registration with applications to deformable object manipulation

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Machine Learning for Helicopter Dynamics Models

Pieter Abbeel, Ali Punjani, P. Abbeel, 2014 .

SFV

Jitendra Malik, Sergey Levine, Pieter Abbeel, 2018, ACM Trans. Graph..

Understanding Slip Perception of Soft Fingertips by Modeling and Simulating Stick-Slip Phenomenon

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data

Alexandre M. Bayen, Pieter Abbeel, Timothy Hunter, 2011, IEEE Transactions on Intelligent Transportation Systems.

GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction pdf

Pieter Abbeel, Vladimir Stojanovic, Keertana Settaluri, 2020, ArXiv.

Sparse Graphical Memory for Robust Planning pdf

Pieter Abbeel, Deepak Pathak, Ajay Jain, 2020, NeurIPS.

Generalizing Skills with Semi-Supervised Reinforcement Learning pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2016, ICLR.

AvE: Assistance via Empowerment pdf

Daniel Polani, Pieter Abbeel, Stas Tiomkin, 2020, NeurIPS.

Learning to Manipulate Deformable Objects without Demonstrations pdf

Pieter Abbeel, Lerrel Pinto, Yilin Wu, 2019, Robotics: Science and Systems.

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Pieter Abbeel, Michael Laskin, Aravind Srinivas, 2020, ICML.

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data

Alexandre M. Bayen, Pieter Abbeel, Timothy Hunter, 2014, WAFR.

Geometric Programming for Aircraft Design Optimization Warren Hoburg

Pieter Abbeel, P. Abbeel, 2014 .

Estimating arterial traffic conditions using sparse probe data

Alexandre M. Bayen, Pieter Abbeel, Aude Hofleitner, 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

Backprop KF: Learning Discriminative Deterministic State Estimators

Sergey Levine, Anurag Ajay, Pieter Abbeel, 2016, NIPS.

Automatic Curriculum Learning through Value Disagreement pdf

Pieter Abbeel, Lerrel Pinto, Yunzhi Zhang, 2020, NeurIPS.

Insect-machine hybrid system

Zhang Chao, Pieter Abbeel, Travis L. Massey, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

On the influence of ship motion prediction accuracy on motion planning and control of robotic manipulators on seaborne platforms

Jan Tommy Gravdahl, Pål Johan From, Pieter Abbeel, 2010, 2010 IEEE International Conference on Robotics and Automation.

Arriving on time: estimating travel time distributions on large-scale road networks pdf

Alexandre M. Bayen, Pieter Abbeel, Anastasios Kouvelas, 2013, ArXiv.

Learning Generalized Reactive Policies using Deep Neural Networks pdf

Pieter Abbeel, Aviv Tamar, Siddharth Srivastava, 2017, ICAPS.

Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces pdf

Alexandre M. Bayen, Pieter Abbeel, Matei Zaharia, 2012, ArXiv.

Perception for the manipulation of socks

Trevor Darrell, Mario Fritz, Pieter Abbeel, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Interpretable and Pedagogical Examples pdf

Pieter Abbeel, Igor Mordatch, Smitha Milli, 2017, ArXiv.

The Path Inference Filter: Model-Based Low-Latency Map Matching of Probe Vehicle Data

Alexandre M. Bayen, Pieter Abbeel, Timothy Hunter, 2011, IEEE transactions on intelligent transportation systems (Print).

Distributed Robot Ensemble Control for Deployment to Multiple Sites

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Robotics: Science and Systems VII

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012, RSS 2012.

Large-Scale Online Expectation Maximization with Spark Streaming

P. Abbeel, M. Zaharia, A. Bayen, 2012 .

Cyborg beetles: The remote radio control of insect flight

P. Abbeel, S. Kolev, N. Goehausen, 2010, 2010 IEEE Sensors.

Learning with Opponent-Learning Awareness pdf

Shimon Whiteson, Pieter Abbeel, Jakob N. Foerster, 2017, AAMAS.

GP-GPIS-OPT: Grasp planning with shape uncertainty using Gaussian process implicit surfaces and Sequential Convex Programming

Matei T. Ciocarlie, Pieter Abbeel, Kenneth Y. Goldberg, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Budgeted Multi-Armed Bandit Models for Sample-Based Grasp Planning in the Presence of Uncertainty

Florian T. Pokorny, P. Abbeel, Michael Laskey, 2014 .

Using Mobile Phones to Forecast Arterial Traffic through Statistical Learning

Alexandre M. Bayen, Saurabh Amin, Pieter Abbeel, 2010 .

Motion planning and control of robotic manipulators on seaborne platforms

Jan Tommy Gravdahl, Pål Johan From, Pieter Abbeel, 2011 .

Policy Transfer via Modularity

P. Abbeel, 2017 .

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 1 Learning the Dynamics of Arterial Traffic From Probe

Alexandre M. Bayen, Pieter Abbeel, Aude Hofleitner, 2022 .

Tractability of Planning with Loops

Pieter Abbeel, Abhishek Gupta, Shlomo Zilberstein, 2015, AAAI.

Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set

Siddhartha S. Srinivasa, Pieter Abbeel, Aaron M. Dollar, 2015, IEEE Robotics & Automation Magazine.

Label and Link Prediction in Relational Data

P. Abbeel, D. Koller, B. Taskar, 2003 .

PIXELSNAIL: AN IMPROVED AUTOREGRESSIVE GEN-

P. Abbeel, Nikhil Mishra, Mostafa Rohaninejad, 2018 .

Leveraging appearance priors in non-rigid registration, with application to manipulation of deformable objects

Sandy H. Huang, Pieter Abbeel, George Mulcaire, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Random Encoder RL Encoder Representation Space Intrinsic Reward Policy Expected Reward Extrinsic Reward

P. Abbeel, Jinwoo Shin, Kimin Lee, 2021 .

Algorithms for Multi-task Reinforcement Learning

P. Abbeel, Alexander Li, 2020 .

Guided Meta-Policy Search

S. Levine, P. Abbeel, Abhishek Gupta, 2019, NeurIPS.

Learning a System-ID Embedding Space for Domain Specialization with Deep Reinforcement Learning

Razvan Pascanu, Peter L. Bartlett, Pieter Abbeel, 2018 .

ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills

P. Abbeel, Á. Torralba, J. Malik, 2021, ArXiv.

Universal Planning Networks-Long Version + Supplementary

S. Levine, P. Abbeel, A. Srinivas, 2018 .

Learning Torque-Driven Manipulation Primitives with a Multilayer Neural Network

S. Levine, P. Abbeel, Nolan Wagener, 2014 .

Reinforcement Learning Methods to Enable Automatic Tuning of Legged Robots

P. Abbeel, Mallory Tayson-Frederick, 2012 .

A Learning-Based Approach to Safety for Uncertain Robotic Systems

P. Abbeel, Lawrence Evans, 2018 .

6 Relational Markov Networks

P. Abbeel, D. Koller, B. Taskar, 2007 .

Learning Self-Supervised Representations of Code Functionality

P. Abbeel, I. Stoica, Joseph Gonzalez, 2021 .

Likelihood Contribution based Multi-scale Architecture for Generative Flows

Hari Prasanna Das, P. Abbeel, C. Spanos, 2019, 1908.01686.

Teachable Reinforcement Learning via Advice Distillation

P. Abbeel, Trevor Darrell, Jacob Andreas, 2022, NeurIPS.

HIRD-P ERSON I MITATION L EARNING

Bradly C. Stadie, P. Abbeel, Ilya Sutskever, 2017 .

Under review as a conference paper at ICLR 2017 # Exploration : A Study of Count-Based Exploration for Deep Reinforcement Learning

J. Schulman, P. Abbeel, Rein Houthooft, 2017 .

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

S. Levine, P. Abbeel, X. B. Peng, 2018, ICLR.

SELF-SUPERVISED POLICY ADAPTATION

Alexei A. Efros, P. Abbeel, Lerrel Pinto, 2021 .

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

S. Levine, P. Abbeel, Abhishek Gupta, 2017, ICLR.

Title Multi-armed bandit models for 2 D grasp planning with uncertainty

Florian T. Pokorny, P. Abbeel, Michael Laskey, 2015 .

Sparse Combinatorial Autoencoders

Karthik S. Narayan, P. Abbeel, 2015 .

Coarse-to-fine Q-attention with Tree Expansion

P. Abbeel, Stephen James, 2022, ArXiv.

Programmatic Modeling and Generation of Real-time Strategic Soccer Environments for Reinforcement Learning

Abdus Salam Azad, P. Abbeel, A. Sangiovanni-Vincentelli, 2022 .

Bottleneck Transformers for Visual Recognition-Supplementary

P. Abbeel, A. Srinivas, Jonathon Shlens, 2021 .

DeepMimic

S. Levine, P. Abbeel, X. B. Peng, 2018, ACM Transactions on Graphics.

Short – Term Traffic Forecasting : Modeling and Learning Spatio – Temporal Relations in Transportation Networks Using Graph Neural Networks by Behrooz Shahsavari Research Project

P. Abbeel, B. Shahsavari, 2015 .

Generalization via Information Bottleneck in Deep Reinforcement Learning

P. Abbeel, Stas Tiomkin, Xingyu Lu, 2020 .

Meta-Learning with Temporal Convolutions pdf

Pieter Abbeel, Xi Chen, Nikhil Mishra, 2017, ArXiv.

Addressing Distribution Shift in Online Reinforcement Learning with Offline Datasets

Jinwoo Shin, Pieter Abbeel, Younggyo Seo, 2021 .

Playful Interactions for Representation Learning pdf

Pieter Abbeel, Lerrel Pinto, Jyothish Pari, 2021, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Bootstrapping Trajectory Transfer from Multiple Demonstrations with Applications to Deformable Object Manipulation

P. Abbeel, Ankush Gupta, Dylan Hadfield-Menell, 2014 .

Tying Surgical Knots From Demonstration : Enhancing Demonstrations and Correcting Errors During Execution

Alex X. Lee, P. Abbeel, D. Berenson, 2011 .

Probabilistically safe policy transfer

Pieter Abbeel, David Held, Michael Zhang, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Guided Meta-Policy Search

Sergey Levine, Pieter Abbeel, Abhishek Gupta, 2019, NeurIPS.

Visual Segmentation of “Simple” Objects for Robots

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Behavior From the Void: Unsupervised Active Pre-Training pdf

Pieter Abbeel, Hao Liu, P. Abbeel, 2021, ArXiv.

EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles

Pieter Abbeel, Kenneth Y. Goldberg, Jur P. van den Berg, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Benefits of Assistance over Reward Learning

Stuart J. Russell, P. Abbeel, Rohin Shah, 2020 .

The Prefrontal Cortex and Hierarchical Behavior by Jennifer Sloan A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Neuroscience in the Graduate Division

P. Abbeel, Tom Griffiths, J. Wallis, 2013 .

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies

Sergey Levine, Pieter Abbeel, Xue Bin Peng, 2019, NeurIPS.

On Visual Feature Representations for Transition State Learning in Robotic Task Demonstrations

Florian T. Pokorny, P. Abbeel, S. Krishnan, 2016 .

A Simple Neural Attentive Meta-Learner

Pieter Abbeel, Xi Chen, Nikhil Mishra, 2017, ICLR.

Autonomous Palpation for Tumor Localization : Design of a Palpation Probe and Gaussian Process Adaptive Sampling

P. Abbeel, Ken Goldberg, Animesh Garg, 2016 .

Chapter 5.2 – A Geometric Approach to Robotic Laundry Folding1

Trevor Darrell, Mario Fritz, Ken Goldberg, 2015 .

Planning Curvature and Torsion Constrained Ribbons in 3D With Application to Intracavitary Brachytherapy

Pieter Abbeel, Kenneth Y. Goldberg, Sachin Patil, 2015, IEEE Transactions on Automation Science and Engineering.

APS: Active Pretraining with Successor Features

Pieter Abbeel, Hao Liu, P. Abbeel, 2021, ICML.

A robot path planning framework that learns from experience

Dmitry Berenson, Pieter Abbeel, Kenneth Y. Goldberg, 2012, 2012 IEEE International Conference on Robotics and Automation.

Parallel Training of Deep Networks with Local Updates pdf

Jascha Sohl-Dickstein, Pieter Abbeel, Mark Saroufim, 2020, ArXiv.

The Importance of Sampling inMeta-Reinforcement Learning

Pieter Abbeel, Peter Chen, Ilya Sutskever, 2018, NeurIPS.

ON NEURAL NETWORK POLICIES

Sandy H. Huang, Ian J. Goodfellow, Nicolas Papernot, 2017 .

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings pdf

Pieter Abbeel, Kimin Lee, Aravind Srinivas, 2021, NeurIPS.

Ballbot : A Low-Cost , Open-Source , Open-Design Robot for Tennis Ball Retrieval

P. Abbeel, Ankush Gupta, Karthik Lakshmanan, 2013 .

Optimization-Based Artifact Correction for Electron Microscopy Image Stacks

Pieter Abbeel, Jeremy Maitin-Shepard, Samaneh Azadi, 2014, ECCV.

Hierarchical Few-Shot Imitation with Skill Transition Models pdf

Pieter Abbeel, Ruihan Zhao, Kourosh Hakhamaneshi, 2021, ArXiv.

GEM: Group Enhanced Model for Learning Dynamical Control Systems pdf

Pieter Abbeel, Stas Tiomkin, Lerrel Pinto, 2021, ArXiv.

Cooperative Occlusion-Aware Multi-Robot Target Tracking using Optimization

P. Abbeel, Ken Goldberg, Karol Hausman, 2015 .

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents pdf

Pieter Abbeel, Igor Mordatch, Deepak Pathak, 2022, ArXiv.

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments pdf

Sanjit A. Seshia, Ion Stoica, Pieter Abbeel, 2021, ArXiv.

Designing Petri Net Supervisors from LTL Specifications

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

A Linear Approximation for Graph-Based Simultaneous Localization and Mapping

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Reinforcement Learning with Augmented Data pdf

Pieter Abbeel, Kimin Lee, Adam Stooke, 2020, NeurIPS.

Learning 2 D Linear Dynamics in Image Space Using Neural Networks

J. Schulman, S. Levine, P. Abbeel, 2014 .

Model-Based Proprioceptive State Estimation for Spring-Mass Running

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Modeling and perception of deformable one-dimensional objects

James F. O'Brien, Pieter Abbeel, Jie Tang, 2011, 2011 IEEE International Conference on Robotics and Automation.

Efficient Empowerment Estimation for Unsupervised Stabilization

Pieter Abbeel, Stas Tiomkin, Ruihan Zhao, 2020, ICLR.

The Berkeley 3D Object Dataset

Jitendra Malik, Trevor Darrell, Pieter Abbeel, 2012 .

DoorGym: A Scalable Door Opening Environment And Baseline Agent pdf

Pieter Abbeel, Luca Rigazio, Alec Hodgkinson, 2019, ArXiv.

Max-margin classification of incomplete data

Pieter Abbeel, Gal Chechik, Daphne Koller, 2006, NIPS.

A Berkeley View of Systems Challenges for AI pdf

Randy H. Katz, Dawn Xiaodong Song, Michael I. Jordan, 2017, ArXiv.

An Interaction Design Framework for Social Robots

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Fast Wind Turbine Design via Geometric Programming

P. Abbeel, Warren W. Hoburg, Warren Hoburg, 2013 .

Data fitting with geometric-programming-compatible softmax functions

Pieter Abbeel, Warren Hoburg, Philippe G. Kirschen, 2016 .

Controlling Wild Bodies Using Linear Temporal Logic

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Towards More Generalizable One-shot Visual Imitation Learning pdf

Pieter Abbeel, Fangchen Liu, Kimin Lee, 2021, ArXiv.

Reset-Free Lifelong Learning with Skill-Space Planning pdf

Pieter Abbeel, Igor Mordatch, Kevin Lu, 2020, ICLR.

Reinforcement Learning for Robotic Assembly with Force Control

P. Abbeel, Jianlan Luo, 2020 .

Bayes Net

Dan Klein, Sergey Levine, Pieter Abbeel, 2017, Encyclopedia of Machine Learning and Data Mining.

Learning Dynamic Manipulation Skills under Unknown Dynamics with Guided Policy Search

S. Levine, P. Abbeel, 2014 .

Coarse-to-fine Q-attention with Tree Expansion

P. Abbeel, Stephen James, 2022, ArXiv.

Real–time Estimation of Distributed Parameters Systems: Application to Traffic Monitoring

P. Abbeel, A. Bayen, D. Work, 2022 .

Learning an Interface to Improve Efficiency in Combined Task and Motion Planning

P. Abbeel, Abhishek Gupta, Siddharth Srivastava, 2015 .

Cyborg Insect : Insect Machine Hybrid System for Locomotion Control

Vo Doan Tat Thang, P. Abbeel, S. Kolev, 2014 .

Biological Flapping and Legged Machine : Insect-Machine Hybrid System

Vo Doan Tat Thang, P. Abbeel, S. Kolev, 2014 .

A Disposable Haptic Palpation Probe for Locating Subcutaneous Blood Vessels in Robot-Assisted Minimally Invasive Surgery

Kirk A. Nichols, P. Abbeel, Ken Goldberg, 2015 .

Zero-Shot Text-Guided Object Generation with Dream Fields

P. Abbeel, Ben Poole, J. Barron, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TERMES: An Autonomous Robotic System for Three- Dimensional Collective Construction

Nicholas Roy, Pieter Abbeel, P. Abbeel, 2011 .

Reinforcement Learning with Augmented Data

P. Abbeel, A. Srinivas, Adam Stooke, 2020, NeurIPS.

AMP

S. Levine, P. Abbeel, X. B. Peng, 2021, ACM Trans. Graph..

Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols

P. Abbeel, S. Srinivasa, Arjun Singh, 2015, ArXiv.

Coarse-to-fine Q-attention with Tree Expansion

P. Abbeel, Stephen James, 2022, ArXiv.

Multimodal Masked Autoencoders Learn Transferable Representations

S. Levine, P. Abbeel, Xinyang Geng, 2022, ArXiv.

Operational Space Control of Constrained and Underactuated Systems

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Approximate Dynamic Programming

Geoffrey I. Webb, Stephen Grossberg, Mauro Birattari, 2011 .

Preferences Implicit in the State of the World

P. Abbeel, Rohin Shah, A. Dragan, 2018, ICLR.

Parallel Training of Deep Networks with Local Updates pdf

Pieter Abbeel, Mark Saroufim, Luke Metz, 2020, ArXiv.

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning

P. Abbeel, Stephen James, Zhao Mandi, 2022, 2206.03271.

Reward Uncertainty for Exploration in Preference-based Reinforcement Learning

P. Abbeel, Kimin Lee, Xi-Xi Liang, 2022, ICLR.

Masked World Models for Visual Control

P. Abbeel, Stephen James, Danijar Hafner, 2022, 2206.14244.

Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision

Lawrence Yunliang Chen, P. Abbeel, Ken Goldberg, 2022, ArXiv.

Deep Hierarchical Planning from Pixels

Ian S. Fischer, P. Abbeel, Danijar Hafner, 2022, NeurIPS.

SFV

S. Levine, P. Abbeel, J. Malik, 2018, ACM Transactions on Graphics.

DeepMimic

S. Levine, P. Abbeel, X. B. Peng, 2018, ACM Transactions on Graphics.

DoorGym: A Scalable Door Opening Environment And Baseline Agent

P. Abbeel, Luca Rigazio, Alec Hodgkinson, 2019, ArXiv.

Chain of Thought Imitation with Procedure Cloning

P. Abbeel, D. Schuurmans, Ofir Nachum, 2022, NeurIPS.

A Framework for Push-Grasping in Clutter

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

An Open Source AGPS/DGPS Capable C-coded Software Receiver

Pieter Abbeel, Morgan Quigley, S. Gleason, 2009 .

CURL: Contrastive Unsupervised Representation Learning for Reinforcement Learning

Pieter Abbeel, Aravind Srinivas, Michael Laskin, 2020, ICML 2020.

Policy Gradient Methods

Pieter Abbeel, Fernando Garcia Bermudez, P. Abbeel, 2008 .

Friendly Patrolling: A Model of Natural Encounters

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Comparing Heads-Up, Hands-Free Operation of Ground Robots to Teleoperation

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Tracking-Based Semi-supervised Learning

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Autonomous Helicopter Flight Using Reinforcement Learning

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2010, Encyclopedia of Machine Learning.

Autonomous Helicopter Flight Using Reinforcement Learning

Pieter Abbeel, Andrew Y. Ng, Adam Coates, 2010, Encyclopedia of Machine Learning.

Inverse Reinforcement Learning

Pieter Abbeel, Andrew Y. Ng, A. Ng, 2017, Encyclopedia of Machine Learning and Data Mining.

Benchmarking in Manipulation Research: The YCB Object and Model Set and Benchmarking Protocols

P. Abbeel, S. Srinivasa, Arjun Singh, 2015, ArXiv.

Reinforcement Learning with Action-Free Pre-Training from Videos

P. Abbeel, Stephen James, Kimin Lee, 2022, ICML.

Patch-based Object-centric Transformers for Efficient Video Generation

P. Abbeel, Stephen James, Wilson Yan, 2022, ArXiv.

Frozen Pretrained Transformers as Universal Computation Engines

P. Abbeel, Igor Mordatch, Kevin Lu, 2022, AAAI.

Denoising Diffusion Probabilistic Models pdf

Pieter Abbeel, Jonathan Ho, Ajay Jain, 2020, NeurIPS.

A DA C AT : Adaptive Categorical Discretization for Autoregressive Models

P. Abbeel, Ajay Jain, Qiyang Li, 2022 .

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking

P. Abbeel, Stephen James, Q. Dou, 2022, ECCV.

Automatic Calibration of Multiple Coplanar Sensors

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

Self-Supervised Learning of Object Motion Through Adversarial Video Prediction

Pieter Abbeel, Chelsea Finn, Richard Zhang, 2018 .

Inverse Resolution

Pierre Flener, Eamonn J. Keogh, Ricardo Vilalta, 2010, Encyclopedia of Machine Learning and Data Mining.

DayDreamer: World Models for Physical Robot Learning

P. Abbeel, Ken Goldberg, Philipp Wu, 2022, CoRL.

Multi-Objective Policy Gradients with Topological Constraints

Kyle Hollins Wray, Mykel J. Kochenderfer, P. Abbeel, 2022, 2209.07096.

Kalman Filtering

P. Abbeel, 2018, Global Navigation Satellite Systems, Inertial Navigation, and Integration.

Temporally Consistent Video Transformer for Long-Term Video Prediction

P. Abbeel, Stephen James, Danijar Hafner, 2022, ArXiv.

Dichotomy of Control: Separating What You Can Control from What You Cannot

P. Abbeel, D. Schuurmans, Ofir Nachum, 2022, ICLR.

FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners

S. Levine, P. Abbeel, Igor Mordatch, 2022, ArXiv.

Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation

P. Abbeel, Lerrel Pinto, M. Laskin, 2020, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions

Yang Gao, P. Abbeel, Weirui Ye, 2022, NeurIPS.

Skill-Based Reinforcement Learning with Intrinsic Reward Matching

P. Abbeel, Ademi Adeniji, Amber Xie, 2022, ArXiv.

HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator

P. Abbeel, Stephen James, Kimin Lee, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data

P. Abbeel, Stephen James, J. Edlund, 2022, CoRL.

Real-World Robot Learning with Masked Visual Pre-training

P. Abbeel, Ilija Radosavovic, Trevor Darrell, 2022, CoRL.

Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models

P. Abbeel, Kimin Lee, Lisa Lee, 2022, ArXiv.

Masked World Models for Visual Control

P. Abbeel, Stephen James, Danijar Hafner, 2022, CoRL.

Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision

Lawrence Yunliang Chen, P. Abbeel, Ken Goldberg, 2022, CoRL.

VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models

P. Abbeel, Ajay Jain, Amber Xie, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Skill-Based Reinforcement Learning with Intrinsic Reward Matching

P. Abbeel, Ademi Adeniji, Amber Xie, 2022, ArXiv.

Train Offline, Test Online: A Real Robot Learning Benchmark

P. Abbeel, Chelsea Finn, A. Rajeswaran, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Enabling robots to communicate their objectives

Sandy H. Huang, P. Abbeel, David Held, 2018, Autonomous Robots.

Quantifying Uncertainty in Foundation Models via Ensembles

P. Abbeel, Igor Mordatch, Wilson Yan, 2022 .

Multi-Environment Pretraining Enables Transfer to Action Limited Datasets

P. Abbeel, Doina Precup, Ofir Nachum, 2022, ICML.

A Disposable Haptic Palpation Probe for Locating Subcutaneous Blood Vessels in Robot-Assisted Minimally Invasive Surgery

Kirk A. Nichols, P. Abbeel, Ken Goldberg, 2015 .

Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models

P. Abbeel, Kimin Lee, Lisa Lee, 2022, ArXiv.

Finite-Time Regional Verification of Stochastic Nonlinear Systems

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Goal-conditioned Imitation Learning

Pieter Abbeel, Yiming Ding, Mariano Phielipp, 2019, NeurIPS.

Hierarchical Deep Reinforcement Learning Agent with Counter Self-play on Competitive Games

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2018 .

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Yi Wu, Pieter Abbeel, Igor Mordatch, 2017, NIPS.

PACE N OISE FOR E XPLORATION

Richard Y. Chen, P. Abbeel, Prafulla Dhariwal, 2018 .

One-Shot Imitation Learning

Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel, 2017, NIPS.

Learning Predictive Representations for Deformable Objects Using Contrastive Estimation pdf

Pieter Abbeel, Lerrel Pinto, Wilson Yan, 2020, CoRL.

Learning to Manipulate Deformable Objects without Demonstrations

P. Abbeel, Lerrel Pinto, Thanard Kurutach, 2019, Robotics: Science and Systems.

Hierarchical Variational Imitation Learning of Control Programs pdf

Dawn Song, Ion Stoica, Ken Goldberg, 2019, ArXiv.

Hierarchical Imitation Learning via Variational Inference of Control Programs

Dawn Song, Ion Stoica, Ken Goldberg, 2018 .

A non-rigid point and normal registration algorithm with applications to learning from demonstrations

Pieter Abbeel, Alex X. Lee, Shane T. Barratt, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Beyond lowest-warping cost action selection in trajectory transfer

Dylan Hadfield-Menell, Sandy H. Huang, Pieter Abbeel, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects

Dylan Hadfield-Menell, Sandy H. Huang, Pieter Abbeel, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments pdf

Pieter Abbeel, Igor Mordatch, Ilya Sutskever, 2017, ICLR.

Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules pdf

Ion Stoica, Pieter Abbeel, Xi Chen, 2019, ICML.

Responsive Safety in Reinforcement Learning by PID Lagrangian Methods pdf

Pieter Abbeel, Adam Stooke, Joshua Achiam, 2020, ICML.

Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search

Sergey Levine, Pieter Abbeel, Tianhao Zhang, 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis pdf

Pieter Abbeel, Matthew Tancik, Ajay Jain, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Large-Scale Estimation in Cyberphysical Systems Using Streaming Data: A Case Study With Arterial Traffic Estimation

Alexandre M. Bayen, Pieter Abbeel, Matei Zaharia, 2013, IEEE Transactions on Automation Science and Engineering.

Pretrained Transformers as Universal Computation Engines

P. Abbeel, Igor Mordatch, Kevin Lu, 2021, ArXiv.

Denoising Diffusion Probabilistic Models pdf

Pieter Abbeel, Jonathan Ho, Ajay Jain, 2020, NeurIPS.

Combining model-based policy search with online model learning for control of physical humanoids

Pieter Abbeel, Clemens Eppner, Igor Mordatch, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations

Pieter Abbeel, Andrew Wan, Kenneth Y. Goldberg, 2010, 2010 IEEE International Conference on Robotics and Automation.

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

P. Abbeel, K. Keutzer, I. Stoica, 2019, MLSys.

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation pdf

Sergey Levine, Pieter Abbeel, Gregory Kahn, 2018, CoRL.

Learning Universal Policies via Text-Guided Video Generation

P. Abbeel, J. Tenenbaum, D. Schuurmans, 2023, ArXiv.

Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models

S. Levine, P. Abbeel, Igor Mordatch, 2022, 2210.13432.

Universal Planning Networks pdf

Allan Jabri, Sergey Levine, Pieter Abbeel, 2018, ICML.

MSA Transformer

John F. Canny, Pieter Abbeel, Tom Sercu, 2021, bioRxiv.

Benchmarking Model-Based Reinforcement Learning pdf

Pieter Abbeel, Guodong Zhang, Jimmy Ba, 2019, ArXiv.

Bottleneck Transformers for Visual Recognition

Pieter Abbeel, Jonathon Shlens, Tsung-Yi Lin, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Link Prediction in Relational Data

Ben Taskar, Pieter Abbeel, Daphne Koller, 2003, NIPS.

AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos pdf

Pieter Abbeel, Marvin Zhang, Sergey Levine, 2019, Robotics: Science and Systems.

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch pdf

Pieter Abbeel, Adam Stooke, P. Abbeel, 2019, ArXiv.

Visual Imitation Made Easy pdf

Pieter Abbeel, Abhinav Gupta, Shubham Tulsiani, 2020, CoRL.

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Koushil Sreenath, Sergey Levine, Pieter Abbeel, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Decoupling Representation Learning from Reinforcement Learning pdf

Pieter Abbeel, Kimin Lee, Adam Stooke, 2020, ICML.

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model pdf

Sergey Levine, Pieter Abbeel, Alex X. Lee, 2019, NeurIPS.

Bringing clothing into desired configurations with limited perception

James F. O'Brien, Pieter Abbeel, Stephen Miller, 2011, 2011 IEEE International Conference on Robotics and Automation.

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Pieter Abbeel, Jinwoo Shin, Seunghyun Lee, 2021, CoRL.

Planning to Explore via Self-Supervised World Models pdf

Pieter Abbeel, Deepak Pathak, Kostas Daniilidis, 2020, ICML.

VideoGPT: Video Generation using VQ-VAE and Transformers pdf

Pieter Abbeel, Aravind Srinivas, Wilson Yan, 2021, ArXiv.

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

P. Abbeel, Igor Mordatch, Deepak Pathak, 2022, ICML.

Unsupervised Learning of Visual 3D Keypoints for Control pdf

Pieter Abbeel, Deepak Pathak, Boyuan Chen, 2021, ICML.

Decision Transformer: Reinforcement Learning via Sequence Modeling pdf

Pieter Abbeel, Aravind Rajeswaran, Igor Mordatch, 2021, NeurIPS.

B-Pref: Benchmarking Preference-Based Reinforcement Learning pdf

Pieter Abbeel, Laura Smith, Anca Dragan, 2021, NeurIPS Datasets and Benchmarks.

On the Utility of Learning about Humans for Human-AI Coordination

Anca D. Dragan, Thomas L. Griffiths, Sanjit A. Seshia, 2019, NeurIPS.

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

P. Abbeel, A. Srinivas, Kimin Lee, 2020, ICML.

Learning latent state representation for speeding up exploration pdf

Lorenzo Natale, Pieter Abbeel, Abhishek Gupta, 2019, ArXiv.

Variational Option Discovery Algorithms pdf

Pieter Abbeel, Joshua Achiam, Harrison Edwards, 2018, ArXiv.

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

S. Levine, P. Abbeel, G. Kahn, 2020, IEEE Robotics and Automation Letters.

LaND: Learning to Navigate From Disengagements pdf

Pieter Abbeel, Sergey Levine, Gregory Kahn, 2020, IEEE Robotics and Automation Letters.

One-Shot Visual Imitation Learning via Meta-Learning

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2017, CoRL.

Sub-policy Adaptation for Hierarchical Reinforcement Learning pdf

Pieter Abbeel, Ignasi Clavera, Carlos Florensa, 2019, ICLR.

Latent Space Policies for Hierarchical Reinforcement Learning

Sergey Levine, Pieter Abbeel, Tuomas Haarnoja, 2018, ICML.

Mastering Atari Games with Limited Data pdf

Pieter Abbeel, Thanard Kurutach, Weirui Ye, 2021, NeurIPS.

Plan2Vec: Unsupervised Representation Learning by Latent Plans pdf

Joelle Pineau, Pieter Abbeel, Ge Yang, 2020, L4DC.

Hallucinative Topological Memory for Zero-Shot Visual Planning pdf

Pieter Abbeel, Thanard Kurutach, Kara Liu, 2020, ICML.

Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback

Pieter Abbeel, Kourosh Hakhamaneshi, Michael Laskin, 2021, CoRL.

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training pdf

Pieter Abbeel, Laura Smith, Kimin Lee, 2021, ICML.

Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning

Gregory D. Hager, Pieter Abbeel, Sanjay Krishnan, 2017, ISRR.

Foundation Models for Decision Making: Problems, Methods, and Opportunities

P. Abbeel, D. Schuurmans, Ofir Nachum, 2023, ArXiv.

Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning

P. Abbeel, Aditya Grover, Carl Qi, 2022, ArXiv.

Occlusion-aware multi-robot 3D tracking

Gaurav S. Sukhatme, Karol Hausman, Pieter Abbeel, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Optimization-based Cooperative Multi-Robot Target Tracking with Reasoning about Occlusions

Gaurav S. Sukhatme, Karol Hausman, Ken Goldberg, 2015 .

Guiding Pretraining in Reinforcement Learning with Large Language Models

P. Abbeel, Trevor Darrell, Jacob Andreas, 2023, ICML.

Compositional Plan Vectors

Sergey Levine, Trevor Darrell, Pieter Abbeel, 2019, NeurIPS.

Self-Supervised Policy Adaptation during Deployment pdf

Alexei A. Efros, Yu Sun, Pieter Abbeel, 2020, ICLR.

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning pdf

Jinwoo Shin, Pieter Abbeel, Kimin Lee, 2020, NeurIPS.

Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning pdf

Pieter Abbeel, Kimin Lee, Stas Tiomkin, 2020, ArXiv.

State Entropy Maximization with Random Encoders for Efficient Exploration

Jinwoo Shin, Honglak Lee, Pieter Abbeel, 2021, ICML.

Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation

Pieter Abbeel, Michael Laskey, Kenneth Y. Goldberg, 2014, WAFR.

Generalized Hindsight for Reinforcement Learning pdf

Pieter Abbeel, Lerrel Pinto, Alexander C. Li, 2020, NeurIPS.

On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning

P. Abbeel, Stephen James, Zhao Mandi, 2022, NeurIPS.

Aligning Text-to-Image Models using Human Feedback

P. Abbeel, S. Gu, M. Ghavamzadeh, 2023, ArXiv.

Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning

P. Abbeel, A. Lazaric, Lerrel Pinto, 2022, ArXiv.

Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning pdf

Pieter Abbeel, Igor Mordatch, Deepak Pathak, 2021, ArXiv.

A Framework for Efficient Robotic Manipulation pdf

Pieter Abbeel, Lerrel Pinto, Michael Laskin, 2020, ArXiv.

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly

Alice M. Agogino, Pieter Abbeel, Eugen Solowjow, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Value Iteration Networks

Pieter Abbeel, Yi Wu, Aviv Tamar, 2016, NIPS.

Towards More Generalizable One-shot Visual Imitation Learning

P. Abbeel, Kimin Lee, Fangchen Liu, 2021, 2022 International Conference on Robotics and Automation (ICRA).

InstructRL: Simple yet Effective Instruction-Following Agents with Multimodal Transformer

P. Abbeel, Kimin Lee, Lisa Lee, 2023 .

Contrastive Code Representation Learning pdf

Joseph E. Gonzalez, Pieter Abbeel, Paras Jain, 2020, EMNLP.

Hybrid Discriminative-Generative Training via Contrastive Learning pdf

Hao Liu, Pieter Abbeel, P. Abbeel, 2020, ArXiv.

Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

Pieter Abbeel, Jonathan Ho, Friso H. Kingma, 2019, ICML.

Compression with Flows via Local Bits-Back Coding

Pieter Abbeel, Jonathan Ho, Evan Lohn, 2019, NeurIPS.

Behavior From the Void: Unsupervised Active Pre-Training

P. Abbeel, Hao Liu, Hao Liu, 2021, NeurIPS.

Establishing Appropriate Trust via Critical States

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

P. Abbeel, Joseph Gonzalez, Fangchen Liu, 2023, ICML.

CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery

P. Abbeel, X. B. Peng, A. Rajeswaran, 2022, ArXiv.

Towards Characterizing Divergence in Deep Q-Learning pdf

Pieter Abbeel, Joshua Achiam, Ethan Knight, 2019, ArXiv.

An Analytic Motion Planning Solution for the Snakeboard

Nicholas Roy, Pieter Abbeel, Hugh Durrant-Whyte, 2012 .

Evolved Policy Gradients

Pieter Abbeel, Phillip Isola, Rein Houthooft, 2018, NeurIPS.

Auto-Tuned Sim-to-Real Transfer

Trevor Darrell, Pieter Abbeel, Deepak Pathak, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

URLB: Unsupervised Reinforcement Learning Benchmark pdf

Pieter Abbeel, Denis Yarats, Lerrel Pinto, 2021, NeurIPS Datasets and Benchmarks.

ProMP: Proximal Meta-Policy Search pdf

Tamim Asfour, Pieter Abbeel, Dennis Lee, 2018, ICLR.

Fitting geometric programming models to data

Pieter Abbeel, Warren Hoburg, Philippe G. Kirschen, 2015 .

Geometric Programming for Aircraft Design Optimization

Pieter Abbeel, Warren Hoburg, P. Abbeel, 2012, AIAA Journal.

Hierarchical Few-Shot Imitation with Skill Transition Models

P. Abbeel, M. Laskin, Kourosh Hakhamaneshi, 2021, ICLR.

Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning

P. Abbeel, Stephen James, 2022, ArXiv.

Deep Unsupervised Cardinality Estimation pdf

Xi Chen, Ion Stoica, Pieter Abbeel, 2019, Proc. VLDB Endow..

AMP

S. Levine, P. Abbeel, X. B. Peng, 2021, ACM Transactions on Graphics.

Safer Classification by Synthesis pdf

Pieter Abbeel, Xi Chen, William Wang, 2017, ArXiv.

Instruction-Following Agents with Multimodal Transformer

P. Abbeel, Kimin Lee, Lisa Lee, 2022, 2210.13431.

Multi-View Masked World Models for Visual Robotic Manipulation

P. Abbeel, Jinwoo Shin, Stephen James, 2023, ArXiv.

Coarse-to-Fine Q-attention with Learned Path Ranking

P. Abbeel, Stephen James, 2022, ArXiv.

Pretraining for Language-Conditioned Imitation with Transformers

P. Abbeel, Igor Mordatch, Kevin Lu, 2021 .

Chain of Hindsight Aligns Language Models with Feedback

P. Abbeel, Carmelo Sferrazza, Hao Liu, 2023, ArXiv.

Robust Reinforcement Learning using Adversarial Populations pdf

Pieter Abbeel, Yuqing Du, Alexandre Bayen, 2020, ArXiv.

Preference Transformer: Modeling Human Preferences using Transformers for RL

P. Abbeel, Jinwoo Shin, Kimin Lee, 2023, ICLR.

Composable Deep Reinforcement Learning for Robotic Manipulation

Sergey Levine, Pieter Abbeel, Aurick Zhou, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Reset-Free Lifelong Learning with Skill-Space Planning

P. Abbeel, Igor Mordatch, Kevin Lu, 2020, ICLR.

Learning compound multi-step controllers under unknown dynamics

Sergey Levine, Weiqiao Han, Pieter Abbeel, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning

S. Levine, P. Abbeel, X. B. Peng, 2023, ArXiv.

YCB Benchmarking Project : Object Set, Data Set and Their Applications (特集ロボットマニピュレーション革命)

Siddhartha S. Srinivasa, Kurt Konolige, Pieter Abbeel, 2017 .

StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS

P. Abbeel, Stephen James, Qingxu Dou, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

P. Abbeel, Jinwoo Shin, Kimin Lee, 2022, ICLR.

One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks pdf

Sergey Levine, Pieter Abbeel, Chelsea Finn, 2018, ArXiv.

Parallel Training of Deep Networks with Local Updates

P. Abbeel, Luke Metz, C. Luschi, 2020, ArXiv.

On Training Robust Policies for Flow Smoothing

P. Abbeel, A. Bayen, Kanaad Parvate, 2020 .

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions

P. Abbeel, Ken Goldberg, X. B. Peng, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Yecheng Jason Ma, P. Abbeel, J. Malik, 2023, ArXiv.

Meta Learning Shared Hierarchies pdf

Pieter Abbeel, Xi Chen, John Schulman, 2017, ICLR.

Guided search for task and motion plans using learned heuristics

Dylan Hadfield-Menell, Pieter Abbeel, Abhishek Gupta, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

RoboPianist: A Benchmark for High-Dimensional Robot Control

Peter R. Florence, Taylor A. Howell, P. Abbeel, 2023, ArXiv.

Masked World Models for Visual Control

P. Abbeel, Stephen James, Danijar Hafner, 2022, CoRL.

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration

P. Abbeel, Jinwoo Shin, Younggyo Seo, 2023, ArXiv.

Emergent Agentic Transformer from Chain of Hindsight Experience

P. Abbeel, Hao Liu, Hao Liu, 2023, ICML.

Masked Trajectory Models for Prediction, Representation, and Control

P. Abbeel, Igor Mordatch, Philipp Wu, 2023, ICML.

Controllability-Aware Unsupervised Skill Discovery

P. Abbeel, Kimin Lee, Youngwoon Lee, 2023, ArXiv.

Multi-View Masked World Models for Visual Robotic Manipulation

P. Abbeel, Jinwoo Shin, Stephen James, 2023, ICML.

Masked Autoencoding for Scalable and Generalizable Decision Making

P. Abbeel, Aditya Grover, Fangchen Liu, 2022, NeurIPS.

Data-Efficient Exploration with Self Play for Atari

P. Abbeel, M. Laskin, Catherine Cang, 2021 .

Blockwise Parallel Transformer for Long Context Large Models

P. Abbeel, Hao Liu, Hao Liu, 2023, ArXiv.

Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks

P. Abbeel, Roy Fox, A. Ihler, 2022, ICML.

Temporal-Difference Value Estimation via Uncertainty-Guided Soft Updates pdf

Pieter Abbeel, Roy Fox, Stephen McAleer, 2021, ArXiv.

Combinatorial Energy Learning for Image Segmentation

Pieter Abbeel, Peter Li, Viren Jain, 2015, NIPS.

Probabilistic Adaptation of Text-to-Video Models

P. Abbeel, J. Tenenbaum, D. Schuurmans, 2023, ArXiv.

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

P. Abbeel, M. Ghavamzadeh, Craig Boutilier, 2023, ArXiv.

Languages are Rewards: Chain of Hindsight Finetuning using Human Feedback

P. Abbeel, Carmelo Sferrazza, Hao Liu, 2023 .

The False Promise of Imitating Proprietary LLMs

S. Levine, P. Abbeel, Xinyang Geng, 2023, ArXiv.

Selectivity Estimation with Deep Likelihood Models

P. Abbeel, Xi Chen, Yan Duan, 2019, ArXiv.

Data fitting with geometric-programming-compatible softmax functions

Philippe G. Kirschen, Pieter Abbeel, P. Abbeel, 2016, Optimization and Engineering.

Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs

P. Abbeel, Himanshu Sahni, Toby Buckley, 2019, Neural Information Processing Systems.

A Constraint-Aware Motion Planning Algorithm for Robotic Folding of Clothes

Dmitry Berenson, Pieter Abbeel, Kenneth Y. Goldberg, 2012, ISER.

Visual Hindsight Experience Replay

P. Abbeel, Himanshu Sahni, Toby Buckley, 2019, arXiv.org.

Dimensionality Reduction Flows pdf

Costas J. Spanos, Pieter Abbeel, Hari Prasanna Das, 2019, ArXiv.

Learning Factor Graphs in Polynomial Time and Sample Complexity

Pieter Abbeel, Andrew Y. Ng, Daphne Koller, 2006, J. Mach. Learn. Res..

Geometry-Aware Neural Rendering

Pieter Abbeel, Josh Tobin, OpenAI, 2019, NeurIPS.

Temporally Consistent Transformers for Video Generation

P. Abbeel, Stephen James, Danijar Hafner, 2022, ICML.

Mutual Information State Intrinsic Control pdf

Pieter Abbeel, Wei Xu, Volker Tresp, 2021, ICLR.

Modular Architecture for StarCraft II with Deep Reinforcement Learning pdf

Trevor Darrell, Pieter Abbeel, Huazhe Xu, 2018, AIIDE.

BagNet: Berkeley Analog Generator with Layout Optimizer Boosted with Deep Neural Networks

Vladimir Stojanovic, Pieter Abbeel, Kourosh Hakhamaneshi, 2019, 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Pretraining Graph Neural Networks for Few-Shot Analog Circuit Modeling and Design

P. Abbeel, M. Nassar, Kourosh Hakhamaneshi, 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Video Prediction Models as Rewards for Reinforcement Learning

P. Abbeel, Ken Goldberg, X. B. Peng, 2023, ArXiv.

ALP: Action-Aware Embodied Learning for Perception

P. Abbeel, Aditi Raghunathan, Wilson Yan, 2023, 2306.10190.

Natural Image Manipulation for Autoregressive Models Using Fisher Scores

P. Abbeel, Jonathan Ho, Wilson Yan, 2019, ArXiv.

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

J. Schulman, P. Abbeel, Rein Houthooft, 2016, NIPS.

Domain randomization for transferring deep neural networks from simulation to the real world

P. Abbeel, Wojciech Zaremba, Jonas Schneider, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Trust Region Policy Optimization

Michael I. Jordan, J. Schulman, Philipp Moritz, 2015, ICML.

AvE: Assistance via Empowerment

P. Abbeel, A. Dragan, D. Polani, 2020, NeurIPS.

It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation

P. Abbeel, Aditya Grover, Yuqing Du, 2022, ICLR.

Asynchronous Methods for Model-Based Reinforcement Learning pdf

Pieter Abbeel, Ignasi Clavera, Yunzhi Zhang, 2019, CoRL.

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments

P. Abbeel, Ilya Sutskever, Igor Mordatch, 2017, ICLR.

Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network

P. Abbeel, A. Bayen, R. Herring, 2012 .

ROTATION PLANE DOUBLY ORTHOGONAL RECUR-

P. Abbeel, Xi Chen, A. Bai, 2016 .

Imitation Learning of Hierarchical Programs via Variational Inference

Dawn Song, Ion Stoica, Ken Goldberg, 2018, ICML 2018.

Preferences Implicit in the State of the World

P. Abbeel, Rohin Shah, A. Dragan, 2019, ICLR.

Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL pdf

Pieter Abbeel, Charles Packer, Joseph E. Gonzalez, 2021, NeurIPS.

Asymmetric Actor Critic for Image-Based Robot Learning

P. Abbeel, Marcin Andrychowicz, Wojciech Zaremba, 2017, Robotics: Science and Systems.

An Empirical Investigation of Representation Learning for Imitation

Stuart J. Russell, Ian S. Fischer, Steven H. Wang, 2022, NeurIPS Datasets and Benchmarks.

Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL pdf

Pieter Abbeel, Aravind Rajeswaran, Michael Laskin, 2021, ArXiv.

Model-Augmented Actor-Critic: Backpropagating through Paths pdf

Pieter Abbeel, Yao Fu, Ignasi Clavera, 2020, ICLR.

Self-Supervised Instance Segmentation by Grasping

P. Abbeel, Xi Chen, Yuxuan Liu, 2023, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Improving Long-Horizon Imitation Through Instruction Prediction

P. Abbeel, Lerrel Pinto, Joey Hejna, 2023, AAAI.

Inverse Reinforcement Learning

P. Abbeel, Andrew Y. Ng, 2010, Encyclopedia of Machine Learning.

Sampling-Based Motion Planning

Pieter Abbeel, P. Abbeel, 2006 .

A geometric approach to robotic laundry folding

Mario Fritz, P. Abbeel, Ken Goldberg, 2012 .

Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression

Pieter Abbeel, Michael Laskey, Sanjay Krishnan, 2014, 2014 IEEE International Conference on Automation Science and Engineering (CASE).

Goal-conditioned Imitation Learning

P. Abbeel, L. Sifre, J. Agapiou, 2019, NeurIPS.

RL: FAST REINFORCEMENT LEARNING VIA SLOW REINFORCEMENT LEARNING

J. Schulman, P. Abbeel, P. Bartlett, 2016 .

UCB and InfoGain Exploration via $\boldsymbol{Q}$-Ensembles pdf

Pieter Abbeel, John Schulman, Szymon Sidor, 2017, ArXiv.

Language Reward Modulation for Pretraining Reinforcement Learning

P. Abbeel, Stephen James, Younggyo Seo, 2023, ArXiv.

Skill-Based Reinforcement Learning with Intrinsic Reward Matching

P. Abbeel, Ademi Adeniji, Amber Xie, 2022, ArXiv.

Count-Based Temperature Scheduling for Maximum Entropy Reinforcement Learning

P. Abbeel, Roy Fox, Guo-Yu Yang, 2021, ArXiv.

SOLAR: Deep Structured Latent Representations for Model-Based Reinforcement Learning pdf

Sergey Levine, Pieter Abbeel, Matthew J. Johnson, 2018, ArXiv.

Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states

Sergey Levine, Anurag Ajay, Pieter Abbeel, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Controllability-Aware Unsupervised Skill Discovery

P. Abbeel, Kimin Lee, Youngwoon Lee, 2023, ICML.

Language-Conditioned Path Planning

P. Abbeel, Stephen James, Youngwoon Lee, 2023, ArXiv.

Unsupervised Reinforcement Learning with Contrastive Intrinsic Control

P. Abbeel, X. B. Peng, A. Rajeswaran, 2022, Neural Information Processing Systems.

Hierarchically Decoupled Imitation for Morphological Transfer pdf

Pieter Abbeel, Lerrel Pinto, Donald J. Hejna, 2020, ICML.

Domain Randomization for Active Pose Estimation

Pieter Abbeel, Abhishek Gupta, Eugen Solowjow, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Efficient Online Estimation of Empowerment for Reinforcement Learning pdf

Pieter Abbeel, Stas Tiomkin, Ruihan Zhao, 2020, ArXiv.

Blockwise Parallel Transformer for Large Context Models

P. Abbeel, Hao Liu, 2023, 2305.19370.

Plan2Vec: Unsupervised Representation Learning by Latent Plans

Ari S. Morcos, P. Abbeel, Joelle Pineau, 2020, L4DC.

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning

Abdus Salam Azad, P. Abbeel, Aleksandra Faust, 2022, ICML.

Target Entropy Annealing for Discrete Soft Actor-Critic pdf

Pieter Abbeel, Roy Fox, Stephen McAleer, 2021, ArXiv.

JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data

P. Abbeel, Aditya Grover, Kourosh Hakhamaneshi, 2021, ArXiv.

Learning to Model the World with Language

P. Abbeel, A. Dragan, D. Klein, 2023, ArXiv.

The MineRL BASALT Competition on Learning from Human Feedback pdf

Pieter Abbeel, Stuart J. Russell, Rohin Shah, 2021, ArXiv.

Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects

P. Abbeel, Xi Chen, Nikhil Mishra, 2023, arXiv.org.

SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks

P. Abbeel, Fangchen Liu, Xingyu Lin, 2023, ArXiv.

Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction

P. Abbeel, Xi Chen, Yuxuan Liu, 2022, ECCV.

Kalman filtering

P. Abbeel, Kalman filtering, A. Ferreiro, 2020, IEEE Control Systems Magazine.

P. Abbeel, Ken Goldberg, S. Patil, 2014 .

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

P. Abbeel, Jinwoo Shin, Kimin Lee, 2022, ArXiv.

Efficient Empowerment Estimation for Unsupervised Stabilization

P. Abbeel, Kevin Lu, Stas Tiomkin, 2020, ICLR.

Dynamical System Embedding for Efficient Intrinsically Motivated Artificial Agents

Pieter Abbeel, Stas Tiomkin, Ruihan Zhao, 2019 .

Enabling robots to communicate their objectives

Sandy H. Huang, P. Abbeel, David Held, 2017, Autonomous Robots.

Leveraging Critical States to Develop Trust

Anca D. Dragan, Sandy H. Huang, Pieter Abbeel, 2017 .

Task-Agnostic Morphology Evolution pdf

Pieter Abbeel, Lerrel Pinto, Donald J. Hejna, 2021, ICLR.

On the Eectiveness of Fine Tuning versus Meta-reinforcement Learning

P. Abbeel, Stephen James, Zhao Mandi, 2022 .

Natural Image Manipulation for Autoregressive Models Using Fisher Scores

P. Abbeel, Jonathan Ho, Wilson Yan, 2019, ArXiv.

Guiding Pretraining in Reinforcement Learning with Large Language Models

P. Abbeel, Trevor Darrell, Jacob Andreas, 2023, ICML.

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning

Abdus Salam Azad, P. Abbeel, A. Sangiovanni-Vincentelli, 2021, AAAI.

Reinforcement Learning with Latent Flow pdf

Xiaofei Wang, Pieter Abbeel, Yang Gao, 2021, NeurIPS.

SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks

P. Abbeel, Fangchen Liu, Xingyu Lin, 2023, ArXiv.

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

P. Abbeel, M. Ghavamzadeh, Craig Boutilier, 2023, NeurIPS.

Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN

P. Abbeel, Xi Chen, Yuxuan Liu, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Chain of Hindsight Aligns Language Models with Feedback

P. Abbeel, Carmelo Sferrazza, Hao Liu, 2023, ArXiv.

A K-fold Method for Baseline Estimation in Policy Gradient Algorithms pdf

Pieter Abbeel, Xi Chen, Abhishek Mishra, 2017, ArXiv.

Learning Dynamic Manipulation Skills under Unknown Dynamics with Guided Policy Search

S. Levine, P. Abbeel, 2014 .

Locally Masked Convolution for Autoregressive Models

Pieter Abbeel, Deepak Pathak, Ajay Jain, 2020, UAI.

Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment

P. Abbeel, Wilson Yan, Hao Liu, 2023, NeurIPS.

Spatial Formation Model for Initiating Conversation

Nicholas Roy, Hugh Durrant-Whyte, Pieter Abbeel, 2012 .

P. Abbeel, Ken Goldberg, S. Patil, 2014 .

Path and travel time inference from GPS probe vehicle data

P. Abbeel, A. Bayen, Timothy Hunter, 2009 .