Byron Boots

发表

Closing the learning-planning loop with predictive state representations

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

Truncated Back-propagation for Bilevel Optimization

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

Graph-Based Inverse Optimal Control for Robot Manipulation

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

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).

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

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

Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction

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

One-Shot Learning for Semantic Segmentation pdf

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

Closing the learning-planning loop with predictive state representations

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

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).

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 Filter with Predictive State Inference Machines pdf

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

Hilbert Space Embeddings of Hidden Markov Models

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

Inference Machines for Nonparametric Filter Learning

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

A Spectral Learning Approach to Range-Only SLAM

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

Learning Dynamic Policies from Demonstration

Byron Boots, 2013 .

Spectral Approaches to Learning Predictive Representations

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

Reduced-Rank Hidden Markov Models pdf

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

An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems

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

A Constraint Generation Approach to Learning Stable Linear Dynamical Systems

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

Predictive State Recurrent Neural Networks

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

Hilbert Space Embeddings of Predictive State Representations pdf

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

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).

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

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

Information Theoretic MPC Using Neural Network Dynamics

James M. Rehg, Evangelos A. Theodorou, E. Theodorou, 2016 .

Layered Hybrid Inverse Optimal Control for Learning Robot Manipulation from Demonstration

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

Robot Skill Learning from Demonstrations in Cluttered Environments

M. A. Rana, Byron Boots, S. Chernova, 2018 .

Skill Generalization via Inference-based Planning

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

Towards Robust Skill Generalization : Unifying LfD and Motion Planning

M. A. Rana, Byron Boots, S. Chernova, 2017 .

Hilbert Space Embeddings of PSRs

Byron Boots, Byron Boots, 2012 .

Inferring Depth from Single Images in Natural Scenes

Byron Boots, 2006 .

Stein Variational Model Predictive Control

D. Fox, Byron Boots, Alexander Lambert, 2020, CoRL.

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).

Learning Deep Neural Network Control Policies for Agile Off-Road Autonomous Driving

Yunpeng Pan, E. Theodorou, Byron Boots, 2017 .

RMP: A Differentiable Policy Class for Robotic Systems with Control-Theoretic Guarantees

Nathan D. Ratliff, M. A. Rana, Byron Boots, 2020 .

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems pdf

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

Evolution of visually guided behavior in artificial agents

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

Robotics for Spatially and Temporally Unstructured Agricultural Environments

Byron Boots, Nader Sadegh, Jing Dong, 2017 .

Large-Scale Gaussian Process Regression via Doubly Stochastic Gradient Descent

Le Song, Byron Boots, Xinyan Yan, 2015 .

Multiple-Instance Video Segmentation with Sequence-Specific Object Proposals

Byron Boots, Amirreza Shaban, Peng Lei, 2017 .

STEAP : Towards Online Estimation and Replanning

Byron Boots, F. Dellaert, Mustafa Mukadam, 2017 .

Scalable Reinforcement Learning via Trajectory Optimization and Approximate Gaussian Process Regression

Yunpeng Pan, E. Theodorou, Byron Boots, 2015 .

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

Byron Boots, George Konidaris, Benjamin Rosman, 2012 .

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

Byron Boots, Xinyan Yan, V. Indelman, 2015, Robotics Auton. Syst..

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

Byron Boots, Xinyan Yan, V. Indelman, 2015, Robotics Auton. Syst..

Learning Semantics-Aware Locomotion Skills from Human Demonstration

Byron Boots, Jie Tan, Wenhao Yu, 2022, 2206.13631.

Learning to Optimize in Model Predictive Control

Byron Boots, J. Sacks, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Composing Task-Agnostic Policies with Deep Reinforcement Learning

Michael C. Yip, Jacob J. Johnson, Byron Boots, 2019, International Conference on Learning Representations.

Sampling Over Riemannian Manifolds Using Kernel Herding

Byron Boots, Sandesh Adhikary, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Learning Semantics-Aware Locomotion Skills from Human Demonstration

Byron Boots, Jie Tan, Wenhao Yu, 2022, CoRL.

Learning Implicit Priors for Motion Optimization

An T. Le, Byron Boots, Alexander Lambert, 2022, ArXiv.

STEAP: simultaneous trajectory estimation and planning

Byron Boots, F. Dellaert, Mustafa Mukadam, 2018, Autonomous Robots.

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

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

Motion Policy Networks

Bryan N. Peele, D. Fox, Clemens Eppner, 2022, CoRL.

Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing

Byron Boots, Siyuan Dong, Mustafa Mukadam, 2022, ArXiv.

Learning Sampling Distributions for Model Predictive Control

Byron Boots, Jacob Sacks, 2022, CoRL.

Motivating Physical Activity via Competitive Human-Robot Interaction

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

Closing the learning-planning loop with predictive state representations

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

Fast Policy Learning through Imitation and Reinforcement pdf

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

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).

Truncated Back-propagation for Bilevel Optimization

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

Learning from Conditional Distributions via Dual Embeddings

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

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces pdf

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

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).

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).

Learning Hidden Quantum Markov Models

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

An Online Learning Approach to Model Predictive Control pdf

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

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata pdf

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

Learning and Inference in Hilbert Space with Quantum Graphical Models

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

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

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

Initialization matters: Orthogonal Predictive State Recurrent Neural Networks

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

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.

RMPflow: A Computational Graph for Automatic Motion Policy Generation pdf

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

Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories

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

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

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

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

D. Fox, Li Fei-Fei, Byron Boots, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Imitation learning for agile autonomous driving

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

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation

D. Fox, Byron Boots, Amirreza Shaban, 2023, arXiv.org.

STEAP: simultaneous trajectory estimation and planning

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

Scalable Reinforcement Learning via Trajectory Optimization and Approximate Gaussian Process Regression

Evangelos A. Theodorou, Yunpeng Pan, E. Theodorou, 2015 .

Provably Efficient Imitation Learning from Observation Alone pdf

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

Semantic Terrain Classification for Off-Road Autonomous Driving

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

Differentiable MPC for End-to-end Planning and Control

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

Safe Reinforcement Learning Using Advantage-Based Intervention

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

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations

Byron Boots, Anqi Li, Ching-An Cheng, 2023, ArXiv.

4D crop monitoring: Spatio-temporal reconstruction for agriculture

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

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).

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

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

Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models

Byron Boots, Mustafa Mukadam, C. Higuera, 2023, ArXiv.

Improving Image Clustering With Multiple Pretrained CNN Feature Extractors pdf

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

Continuous-time Gaussian process motion planning via probabilistic inference

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

Gaussian Process Motion planning

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

Differentiable Gaussian Process Motion Planning

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

Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing

Byron Boots, Siyuan Dong, Mustafa Mukadam, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Learning Implicit Priors for Motion Optimization

An T. Le, Byron Boots, Alexander Lambert, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Fast and Efficient Locomotion via Learned Gait Transitions pdf

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

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

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

Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs

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

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).

Stein Variational Probabilistic Roadmaps

S. Srinivasa, Byron Boots, Brian Hou, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Entropy Regularized Motion Planning via Stein Variational Inference pdf

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

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

Dual Policy Iteration

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

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

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

RMP2: A Structured Composable Policy Class for Robot Learning pdf

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

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).

Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula

Joshua R. Smith, Byron Boots, L. Ratliff, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Stackelberg MADDPG: Learning Emergent Behaviors via Information Asymmetry in Competitive Games

Byron Boots, L. Ratliff, Liyuan Zheng, 2021 .

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

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

Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods pdf

Ching-An Cheng, Xinyan Yan, Byron Boots, 2019, CoRL.

Integrating robotics into wildlife conservation: testing improvements to predator deterrents through movement

Byron Boots, A. Giordano, S. Breck, 2023, PeerJ.

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).

Composing Ensembles of Policies with Deep Reinforcement Learning pdf

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

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).

Simultaneous Trajectory Estimation and Planning via Probabilistic Inference

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

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).

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).

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).

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations

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

Geometric Fabrics for the Acceleration-based Design of Robotic Motion

Karl Van Wyk, Nathan D. Ratliff, M. A. Rana, 2020, ArXiv.

Orthogonally Decoupled Variational Gaussian Processes

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

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

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

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation

D. Fox, Byron Boots, Amirreza Shaban, 2023, Robotics: Science and Systems.

Expressiveness and Learning of Hidden Quantum Markov Models pdf

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

Explaining Fast Improvement in Online Policy Optimization pdf

Ching-An Cheng, Xinyan Yan, Byron Boots, 2020, ArXiv.

Variational Inference for Gaussian Process Models with Linear Complexity

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

Incremental Variational Sparse Gaussian Process Regression

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

Adversarial Model for Offline Reinforcement Learning

Byron Boots, Nan Jiang, Tengyang Xie, 2023, NeurIPS.

Explaining fast improvement in online imitation learning

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

Predictor-Corrector Policy Optimization

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

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

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

A Reduction from Reinforcement Learning to No-Regret Online Learning

Geoffrey J. Gordon, Byron Boots, Ching-An Cheng, 2019, AISTATS.

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).

Learning to Find Common Objects Across Image Collections pdf

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

Crop Monitoring : Spatio-Temporal Reconstruction for Agriculture

Byron Boots, Frank Dellaert, Jing Dong, 2017 .

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

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

Online Instrumental Variable Regression with Applications to Online Linear System Identification

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

Collaborative Interaction Models for Optimized Human-Robot Teamwork

Nathan D. Ratliff, D. Fox, Byron Boots, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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).

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).

Adversarial Sampling-Based Motion Planning

Michael J. Sparapany, Byron Boots, A. Mazumdar, 2022, IEEE Robotics and Automation Letters.

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

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

Learning to Align Images Using Weak Geometric Supervision

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

Predictive-State Decoders: Encoding the Future into Recurrent Networks

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

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

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

Convergence of Value Aggregation for Imitation Learning

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

Dual Online Stein Variational Inference for Control and Dynamics pdf

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

Blending MPC & Value Function Approximation for Efficient Reinforcement Learning

Byron Boots, Sanjiban Choudhury, M. Bhardwaj, 2020, ICLR.

Learning Stable Linear Dynamical Systems Learning Stable Linear Dynamical Systems

Byron Boots, Byron Boots, 2009 .

Learning to Smooth with Bidirectional Predictive State Inference Machines

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

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations

Byron Boots, Anqi Li, Ching-An Cheng, 2023, ICML.

Predictive State Temporal Difference Learning

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

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

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

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).

LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation

Byron Boots, Amirreza Shaban, Sanghun Jung, 2023, ArXiv.

Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping

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

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.

CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller

Byron Boots, Jie Tan, Wenhao Yu, 2023, ArXiv.

Continuous Versatile Jumping Using Learned Action Residuals

Byron Boots, Jie Tan, Wenhao Yu, 2023, Conference on Learning for Dynamics & Control.

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

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

Online Learning with Continuous Variations: Dynamic Regret and Reductions

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

Continuous Online Learning and New Insights to Online Imitation Learning

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

Accelerating Imitation Learning with Predictive Models

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

Two Manifold Problems with Applications to Nonlinear System Identification pdf

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

Two-Manifold Problems pdf

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

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

Amir M. Rahimi, R. Hartley, Byron Boots, 2020, NeurIPS.

Leveraging experience in lazy search pdf

Byron Boots, Sanjiban Choudhury, Mohak Bhardwaj, 2019, Autonomous Robots.