Byron Boots

发表

Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees pdf

Byron Boots, Dieter Fox, M. Asif Rana, 2020, ArXiv.

Deep Forward and Inverse Perceptual Models for Tracking and Prediction

Byron Boots, Zhen Liu, Alexander Lambert, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Leveraging Experience in Lazy Search pdf

Byron Boots, Sanjiban Choudhury, Mohak Bhardwaj, 2019, Robotics: Science and Systems.

Predictor-Corrector Policy Optimization

Byron Boots, Ching-An Cheng, Nathan D. Ratliff, 2018, ICML.

Combining pretrained CNN feature extractors to enhance clustering of complex natural images pdf

Byron Boots, Olivier Gibaru, Joris M. Guerin, 2021, Neurocomputing.

Learning-based Air Data System for Safe and Efficient Control of Fixed-wing Aerial Vehicles

Byron Boots, Krzysztof Choromanski, Vikas Sindhwani, 2018, 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

Learning to Find Common Objects Across Image Collections pdf

Byron Boots, Amirreza Shaban, Richard I. Hartley, 2019, ArXiv.

Semi-parametric Approaches to Learning in Model-Based Hierarchical Control of Complex Systems

Byron Boots, Seth Hutchinson, Munzir Zafar, 2018, ISER.

Learning to Align Images Using Weak Geometric Supervision

Byron Boots, Ranveer Chandra, Frank Dellaert, 2018, 2018 International Conference on 3D Vision (3DV).

Learning and Inference in Hilbert Space with Quantum Graphical Models

Byron Boots, Carlton Downey, Siddarth Srinivasan, 2018, NeurIPS.

Continuous Online Learning and New Insights to Online Imitation Learning pdf

Byron Boots, Ken Goldberg, Ching-An Cheng, 2019, ArXiv.

Two-Manifold Problems pdf

Byron Boots, Geoffrey J. Gordon, 2011, ArXiv.

Closing the learning-planning loop with predictive state representations

Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi, 2009, Int. J. Robotics Res..

Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction

Byron Boots, Geoffrey J. Gordon, J. Andrew Bagnell, 2017, ICML.

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

Byron Boots, Li Fei-Fei, Dieter Fox, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Learning Cognitive Maps: Finding Useful Structure in an Uncertain World

Byron Boots, Eric Chown, 2008, Robotics and Cognitive Approaches to Spatial Mapping.

Learning Stable Linear Dynamical Systems Learning Stable Linear Dynamical Systems

Byron Boots, Byron Boots, 2009 .

RMPflow: A Computational Graph for Automatic Motion Policy Generation pdf

Byron Boots, Dieter Fox, Stanley T. Birchfield, 2018, WAFR.

Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups pdf

Byron Boots, Frank Dellaert, Jing Dong, 2017, ArXiv.

Predictive State Temporal Difference Learning

Byron Boots, Geoffrey J. Gordon, Byron Boots, 2010, NIPS.

Learning to Smooth with Bidirectional Predictive State Inference Machines

Byron Boots, Geoffrey J. Gordon, J. Andrew Bagnell, 2016, UAI.

Spectral Approaches to Learning Predictive Representations

Byron Boots, Geoffrey J. Gordon, Byron Boots, 2011 .

Space-time functional gradient optimization for motion planning

Siddhartha S. Srinivasa, Byron Boots, Dieter Fox, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems

Byron Boots, Dieter Fox, Anqi Li, 2020, L4DC.

Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time Trajectories

Byron Boots, Frank Dellaert, Jing Dong, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Approximately optimal continuous-time motion planning and control via Probabilistic Inference

Byron Boots, Ching-An Cheng, Xinyan Yan, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning pdf

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2017, ArXiv.

DC-SSAT: A Divide-and-Conquer Approach to Solving Stochastic Satisfiability Problems Efficiently

Byron Boots, Stephen M. Majercik, 2005, AAAI.

Closing the learning-planning loop with predictive state representations

Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi, 2009, Int. J. Robotics Res..

Evolution of visually guided behavior in artificial agents

Byron Boots, Dale Purves, 2010 .

Designing intelligent robots : reintegrating AI : papers from the AAAI Spring Symposium

Byron Boots, George Konidaris, Benjamin Rosman, 2012 .

Robotics for Spatially and Temporally Unstructured Agricultural Environments

Byron Boots, Nader Sadegh, Jing Dong, 2017 .

Learning to Filter with Predictive State Inference Machines pdf

Byron Boots, J. Andrew Bagnell, Arun Venkatraman, 2015, ICML.

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces pdf

Byron Boots, Zita Marinho, Geoffrey J. Gordon, 2016, Robotics: Science and Systems.

Inference Machines for Nonparametric Filter Learning

Byron Boots, Martial Hebert, J. Andrew Bagnell, 2016, IJCAI.

A Constraint Generation Approach to Learning Stable Linear Dynamical Systems

Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi, 2007, NIPS.

Provably Efficient Imitation Learning from Observation Alone pdf

Byron Boots, J. Andrew Bagnell, Anirudh Vemula, 2019, ICML.

4D crop monitoring: Spatio-temporal reconstruction for agriculture

Byron Boots, Frank Dellaert, Jing Dong, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Robust Learning of Tactile Force Estimation through Robot Interaction

Byron Boots, Dieter Fox, Stanley T. Birchfield, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Learning predictive models of a depth camera & manipulator from raw execution traces

Byron Boots, Dieter Fox, Arunkumar Byravan, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Information theoretic MPC for model-based reinforcement learning

Nolan Wagener, Byron Boots, James M. Rehg, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Initialization matters: Orthogonal Predictive State Recurrent Neural Networks

Byron Boots, Krzysztof Choromanski, Carlton Downey, 2018, ICLR.

Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing

Byron Boots, Dieter Fox, Alexander Lambert, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference pdf

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2016, ArXiv.

Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks

Byron Boots, Ching-An Cheng, Magnus Egerstedt, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Byron Boots, Amirreza Shaban, Thalaiyasingam Ajanthan, 2020, ECCV.

Geometric Fabrics for the Acceleration-based Design of Robotic Motion pdf

Byron Boots, Dieter Fox, Anqi Li, 2020, ArXiv.

The Nonparametric Kernel Bayes Smoother

Le Song, Byron Boots, Yu Nishiyama, 2016, AISTATS.

Semantically Meaningful View Selection

Byron Boots, Olivier Gibaru, Eric Nyiri, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems

Byron Boots, Geoffrey J. Gordon, Byron Boots, 2011, AAAI.

Learning from Conditional Distributions via Dual Kernel Embeddings pdf

Le Song, Byron Boots, Bo Dai, 2016, ArXiv.

Online Instrumental Variable Regression with Applications to Online Linear System Identification

Byron Boots, Martial Hebert, J. Andrew Bagnell, 2016, AAAI.

Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference

Byron Boots, Sahit Chintalapudi, Mustafa Mukadam, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Convergence of Value Aggregation for Imitation Learning

Byron Boots, Ching-An Cheng, Byron Boots, 2018, AISTATS.

Model-Based Imitation Learning with Accelerated Convergence pdf

Byron Boots, Evangelos Theodorou, Ching-An Cheng, 2018, ArXiv.

Online Learning with Continuous Variations: Dynamic Regret and Reductions pdf

Byron Boots, Jonathan Lee, Kenneth Y. Goldberg, 2020, AISTATS.

A Spectral Learning Approach to Range-Only SLAM

Byron Boots, Geoffrey J. Gordon, Byron Boots, 2012, ICML.

Incremental sparse GP regression for continuous-time trajectory estimation and mapping

Byron Boots, Vadim Indelman, Xinyan Yan, 2017, Robotics Auton. Syst..

Reduced-Rank Hidden Markov Models pdf

Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi, 2009, AISTATS.

Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies pdf

Byron Boots, Magnus Egerstedt, Anqi Li, 2019, ISRR.

Predictive-State Decoders: Encoding the Future into Recurrent Networks

Byron Boots, Martial Hebert, J. Andrew Bagnell, 2017, NIPS.

Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems

Byron Boots, Tucker Hybinette Balch, Brian Hrolenok, 2017, AAAI.

Differentiable MPC for End-to-end Planning and Control

Byron Boots, J. Zico Kolter, Brandon Amos, 2018, NeurIPS.

Manifold Regularization for Kernelized LSTD pdf

Byron Boots, Krzysztof Choromanski, Vikas Sindhwani, 2017, ArXiv.

Online Spectral Identification of Dynamical Systems

Byron Boots, Geoffrey J. Gordon, 2011 .

Differentiable Gaussian Process Motion Planning

Byron Boots, Mohak Bhardwaj, Mustafa Mukadam, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Information Theoretic Model Predictive Q-Learning pdf

Byron Boots, Dieter Fox, Mohak Bhardwaj, 2020, L4DC.

Learning from Conditional Distributions via Dual Embeddings

Le Song, Byron Boots, Bo Dai, 2016, AISTATS.

One-Shot Learning for Semantic Segmentation pdf

Byron Boots, Zhen Liu, Irfan Essa, 2017, BMVC.

In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization pdf

Byron Boots, Amirreza Shaban, Thalaiyasingam Ajanthan, 2020, ArXiv.

Collaborative Behavior Models for Optimized Human-Robot Teamwork

Byron Boots, Dieter Fox, Nathan Ratliff, 2019 .

Composing Task-Agnostic Policies with Deep Reinforcement Learning

Byron Boots, Michael C. Yip, Ahmed Hussain Qureshi, 2020, ICLR.

Learning to Find Common Objects Across Few Image Collections

Byron Boots, Amirreza Shaban, Stephen Gould, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Simultaneous Trajectory Estimation and Planning via Probabilistic Inference

Byron Boots, Frank Dellaert, Jing Dong, 2017, Robotics: Science and Systems.

Orthogonally Decoupled Variational Gaussian Processes

Byron Boots, Ching-An Cheng, Marc Peter Deisenroth, 2018, NeurIPS.

Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold pdf

Byron Boots, Siddarth Srinivasan, Sandesh Adhikary, 2019, ArXiv.

Exact Bounds on the Contact Driven Motion of a Sliding Object, With Applications to Robotic Pulling

Byron Boots, Eric Huang, Matthew T. Mason, 2017, Robotics: Science and Systems.

Hilbert Space Embeddings of Predictive State Representations pdf

Byron Boots, Arthur Gretton, Geoffrey J. Gordon, 2013, UAI.

Variational Inference for Gaussian Process Models with Linear Complexity

Byron Boots, Ching-An Cheng, Byron Boots, 2017, NIPS.

Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2017, ICML.

Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping

Byron Boots, Dieter Fox, Nathan Ratliff, 2019, CoRL.

Simulation-based design of dynamic controllers for humanoid balancing

Byron Boots, C. Karen Liu, Jie Tan, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Improving Image Clustering With Multiple Pretrained CNN Feature Extractors pdf

Byron Boots, Joris Guérin, Byron Boots, 2018, BMVC.

Hilbert Space Embeddings of Hidden Markov Models

Le Song, Byron Boots, Alexander J. Smola, 2010, ICML.

Fast Policy Learning through Imitation and Reinforcement pdf

Nolan Wagener, Byron Boots, Ching-An Cheng, 2018, UAI.

Composing Ensembles of Policies with Deep Reinforcement Learning pdf

Byron Boots, Michael C. Yip, Ahmed H. Qureshi, 2019, ArXiv.

Optical Sensing and Control Methods for Soft Pneumatically Actuated Robotic Manipulators

Byron Boots, Ching-An Cheng, Frank L. Hammond, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments

Byron Boots, Sonia Chernova, Muhammad Asif Rana, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Stable Multivariate Baseline Models for Outbreak Detection

Byron Boots, Geoffrey J. Gordon, Artur Dubrawski, 2007 .

An Online Learning Approach to Model Predictive Control pdf

Nolan Wagener, Byron Boots, Ching-An Cheng, 2019, Robotics: Science and Systems.

A Reduction from Reinforcement Learning to No-Regret Online Learning pdf

Byron Boots, Ching-An Cheng, Geoff Gordon, 2020, AISTATS.

Closing the Gap Between Machine Learning and Robotics

Byron Boots, 2016 .

Incremental Variational Sparse Gaussian Process Regression

Byron Boots, Ching-An Cheng, Byron Boots, 2016, NIPS.

Closing the learning-planning loop with predictive state representations

Byron Boots, Geoffrey J. Gordon, Sajid M. Siddiqi, 2011, Int. J. Robotics Res..

Expressiveness and Learning of Hidden Quantum Markov Models pdf

Byron Boots, Geoffrey J. Gordon, Geoff Gordon, 2019, AISTATS.

Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method

Le Song, Byron Boots, Mehrdad Farajtabar, 2015, UAI.

STEAP: simultaneous trajectory estimation and planning

Byron Boots, Frank Dellaert, Jing Dong, 2018, Autonomous Robots.

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata pdf

Byron Boots, Guillaume Rabusseau, Siddarth Srinivasan, 2020, AISTATS.

RMPflow: A Geometric Framework for Generation of Multitask Motion Policies pdf

Byron Boots, Dieter Fox, Nathan Ratliff, 2020, IEEE Transactions on Automation Science and Engineering.

Two Manifold Problems with Applications to Nonlinear System Identification pdf

Byron Boots, Geoffrey J. Gordon, 2012, ICML.

Graph-Based Inverse Optimal Control for Robot Manipulation

Byron Boots, Dieter Fox, Brian D. Ziebart, 2015, IJCAI.

Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks pdf

Byron Boots, Amirreza Shaban, Ching-An Cheng, 2020, NeurIPS.

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations

Byron Boots, Dieter Fox, M. Asif Rana, 2019, CoRL.

Gaussian Process Motion planning

Byron Boots, Xinyan Yan, Mustafa Mukadam, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Predictive State Recurrent Neural Networks

Byron Boots, Geoffrey J. Gordon, Ahmed Hefny, 2017, NIPS.

Dual Policy Iteration

Byron Boots, Geoffrey J. Gordon, J. Andrew Bagnell, 2018, NeurIPS.

Multiple-Instance Video Segmentation with Sequence-Specific Object Proposals

Byron Boots, Amirreza Shaban, Peng Lei, 2017 .

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning

Byron Boots, Sonia Chernova, Muhammad Asif Rana, 2017, CoRL.

Truncated Back-propagation for Bilevel Optimization

Byron Boots, Amirreza Shaban, Ching-An Cheng, 2018, AISTATS.

Blending MPC & Value Function Approximation for Efficient Reinforcement Learning pdf

Byron Boots, Sanjiban Choudhury, Mohak Bhardwaj, 2020, ArXiv.

Imitation learning for agile autonomous driving

Byron Boots, Ching-An Cheng, Evangelos A. Theodorou, 2019, Int. J. Robotics Res..

Continuous-time Gaussian process motion planning via probabilistic inference

Byron Boots, Frank Dellaert, Jing Dong, 2017, Int. J. Robotics Res..

Motion planning with graph-based trajectories and Gaussian process inference

Byron Boots, Zhen Liu, Eric Huang, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation pdf

Byron Boots, Liyiming Ke, Tapomayukh Bhattacharjee, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs

Byron Boots, Frank Dellaert, Jing Dong, 2016, Robotics: Science and Systems.

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion pdf

Byron Boots, Yuke Zhu, Xingye Da, 2020, CoRL.

Agile Autonomous Driving using End-to-End Deep Imitation Learning

Byron Boots, Yunpeng Pan, Evangelos Theodorou, 2017, Robotics: Science and Systems.

Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning pdf

Byron Boots, J. Andrew Bagnell, Wen Sun, 2018, ICLR.

Accelerating Imitation Learning with Predictive Models

Byron Boots, Ching-An Cheng, Evangelos A. Theodorou, 2018, AISTATS.

Stein Variational Model Predictive Control pdf

Byron Boots, Dieter Fox, Alexander Lambert, 2020, ArXiv.

Learning Hidden Quantum Markov Models

Byron Boots, Geoffrey J. Gordon, Siddarth Srinivasan, 2017, AISTATS.

Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees

Byron Boots, Dieter Fox, M. Asif Rana, 2020, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories

Byron Boots, Frank Dellaert, Anqi Li, 2021, 2105.03019.

The Value of Planning for Infinite-Horizon Model Predictive Control

Byron Boots, Nathan Hatch, Byron Boots, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Fast and Efficient Locomotion via Learned Gait Transitions pdf

Byron Boots, Tingnan Zhang, Jie Tan, 2021, CoRL.

CoDE: Collocation for Demonstration Encoding pdf

Byron Boots, Frank Dellaert, Anqi Li, 2021, ArXiv.

Few-shot Weakly-Supervised Object Detection via Directional Statistics pdf

Byron Boots, Amirreza Shaban, Richard Hartley, 2021, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

RMP2: A Structured Composable Policy Class for Robot Learning pdf

Byron Boots, M. Asif Rana, Anqi Li, 2021, Robotics: Science and Systems.

Semantic Terrain Classification for Off-Road Autonomous Driving

Byron Boots, Dieter Fox, Amirreza Shaban, 2021, CoRL.

Entropy Regularized Motion Planning via Stein Variational Inference pdf

Byron Boots, Alexander Lambert, Byron Boots, 2021, ArXiv.

Stein Variational Probabilistic Roadmaps pdf

Siddhartha S. Srinivasa, Byron Boots, Brian Hou, 2021, ArXiv.

STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation

Byron Boots, Dieter Fox, Nathan Ratliff, 2021, CoRL.

Safe Reinforcement Learning Using Advantage-Based Intervention

Nolan Wagener, Byron Boots, Ching-An Cheng, 2021, ICML.

Leveraging experience in lazy search

Byron Boots, Siddhartha Srinivasa, Sanjiban Choudhury, 2021, Auton. Robots.

Motivating Physical Activity via Competitive Human-Robot Interaction

Byron Boots, Patrick Lancaster, Golnaz Habibi, 2022, CoRL.

Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior pdf

Byron Boots, Dieter Fox, Anqi Li, 2021, IEEE Robotics and Automation Letters.

Dual Online Stein Variational Inference for Control and Dynamics pdf

Byron Boots, Lucas Barcelos, Fabio Ramos, 2021, Robotics: Science and Systems.

Explaining fast improvement in online imitation learning

Byron Boots, Xinyan Yan, Ching-An Cheng, 2021, UAI.

Skill Generalization via Inference-based Planning

Byron Boots, Sonia Chernova, Muhammad Asif Rana, 2017 .

Crop Monitoring : Spatio-Temporal Reconstruction for Agriculture

Byron Boots, Frank Dellaert, Jing Dong, 2017 .

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

Byron Boots, Yuke Zhu, Xingye Da, 2020, Conference on Robot Learning.

Hilbert Space Embeddings of PSRs

Byron Boots, Byron Boots, 2012 .

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems pdf

Byron Boots, Dieter Fox, Anqi Li, 2020, L4DC.

Deep AutoRally : Agile Autonomous Driving via End-to-End Imitation Learning

Byron Boots, Yunpeng Pan, Ching-An Cheng, 2010 .

Evolution of visually guided behavior in artificial agents

Byron Boots, Dale Purves, Surajit Nundy, 2007, Network.

Layered Hybrid Inverse Optimal Control for Learning Robot Manipulation from Demonstration

Byron Boots, Dieter Fox, Brian D. Ziebart, 2014 .

Large-Scale Gaussian Process Regression via Doubly Stochastic Gradient Descent

Le Song, Byron Boots, Xinyan Yan, 2015 .