Byron Boots

According to our database, Byron Boots authored at least 161 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators.

Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao

CoRR, 2024

Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving.

Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha S. Srinivasa, Byron Boots

CoRR, 2024

Robotic System Performing Dynamic Interaction in Human-Robot Cooperative Work for Assembly Operation.

Satoshi Nakamura, Carolina Higuera, Mohak Bhardwaj, Byron Boots

Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

2023

V-STRONG: Visual Self-Supervised Traversability Learning for Off-road Navigation.

Sanghun Jung, Joonho Lee, Xiangyun Meng, Byron Boots, Alexander Lambert

CoRR, 2023

Model Predictive Control for Aggressive Driving Over Uneven Terrain.

Tyler Han, Alex Liu, Anqi Li, Alexander Spitzer, Guanya Shi, Byron Boots

CoRR, 2023

Deep Model Predictive Optimization.

Jacob Sacks, Rwik Rana, Kevin Huang, Alexander Spitzer, Guanya Shi, Byron Boots

CoRR, 2023

Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies.

Carolina Higuera, Joseph Ortiz, Haozhi Qi, Luis Pineda, Byron Boots, Mustafa Mukadam

CoRR, 2023

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

Carolina Higuera, Byron Boots, Mustafa Mukadam

CoRR, 2023

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

Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Adversarial Model for Offline Reinforcement Learning.

Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continuous Versatile Jumping Using Learned Action Residuals.

Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

Proceedings of the Learning for Dynamics and Control Conference, 2023

Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula.

Boling Yang, Liyuan Zheng, Lillian J. Ratliff, Byron Boots, Joshua R. Smith

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing.

Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations.

Anqi Li, Byron Boots, Ching-An Cheng

Proceedings of the International Conference on Machine Learning, 2023

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

Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CAFA: Class-Aware Feature Alignment for Test-Time Adaptation.

Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller.

Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

Proceedings of the Conference on Robot Learning, 2023

DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers.

Boling Yang, Soofiyan Atar, Markus Grotz, Byron Boots, Joshua R. Smith

Proceedings of the Conference on Robot Learning, 2023

DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control.

Kevin Huang, Rwik Rana, Alexander Spitzer, Guanya Shi, Byron Boots

Proceedings of the Conference on Robot Learning, 2023

2022

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

Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff

IEEE Robotics Autom. Lett., 2022

Adversarial Sampling-Based Motion Planning.

Hayden Nichols, Mark Jimenez, Zachary Goddard, Michael Sparapany, Byron Boots, Anirban Mazumdar

IEEE Robotics Autom. Lett., 2022

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

Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Implicit Priors for Motion Optimization.

Julen Urain, An T. Le, Alexander Lambert, Georgia Chalvatzaki, Byron Boots, Jan Peters

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning to Optimize in Model Predictive Control.

Jacob Sacks, Byron Boots

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Stein Variational Probabilistic Roadmaps.

Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Sampling Over Riemannian Manifolds Using Kernel Herding.

Sandesh Adhikary, Byron Boots

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Semantics-Aware Locomotion Skills from Human Demonstration.

Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

Proceedings of the Conference on Robot Learning, 2022

Learning Sampling Distributions for Model Predictive Control.

Jacob Sacks, Byron Boots

Proceedings of the Conference on Robot Learning, 2022

Motion Policy Networks.

Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox

Proceedings of the Conference on Robot Learning, 2022

2021

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

Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff

IEEE Trans Autom. Sci. Eng., 2021

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

Joris Guérin, Stéphane Thiery, Eric Nyiri, Olivier Gibaru, Byron Boots

Neurocomputing, 2021

Entropy Regularized Motion Planning via Stein Variational Inference.

Alexander Lambert, Byron Boots

CoRR, 2021

CoDE: Collocation for Demonstration Encoding.

Mandy Xie, Anqi Li, Karl Van Wyk, Frank Dellaert, Byron Boots, Nathan D. Ratliff

CoRR, 2021

Fast Joint Space Model-Predictive Control for Reactive Manipulation.

Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots

CoRR, 2021

Leveraging experience in lazy search.

Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa

Auton. Robots, 2021

Explaining fast improvement in online imitation learning.

Xinyan Yan, Byron Boots, Ching-An Cheng

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

RMP2: A Structured Composable Policy Class for Robot Learning.

Anqi Li, Ching-An Cheng, Muhammad Asif Rana, Man Xie, Karl Van Wyk, Nathan D. Ratliff, Byron Boots

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Dual Online Stein Variational Inference for Control and Dynamics.

Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

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

Muhammad Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan D. Ratliff

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

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

Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

The Value of Planning for Infinite-Horizon Model Predictive Control.

Nathan Hatch, Byron Boots

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Safe Reinforcement Learning Using Advantage-Based Intervention.

Nolan Wagener, Byron Boots, Ching-An Cheng

Proceedings of the 38th International Conference on Machine Learning, 2021

Blending MPC & Value Function Approximation for Efficient Reinforcement Learning.

Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots

Proceedings of the 9th International Conference on Learning Representations, 2021

Fast and Efficient Locomotion via Learned Gait Transitions.

Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Motivating Physical Activity via Competitive Human-Robot Interaction.

Boling Yang, Golnaz Habibi, Patrick Lancaster, Byron Boots, Joshua R. Smith

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Semantic Terrain Classification for Off-Road Autonomous Driving.

Amirreza Shaban, Xiangyun Meng, Joonho Lee, Byron Boots, Dieter Fox

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

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

Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Quantum Tensor Networks, Stochastic Processes, and Weighted Automata.

Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Guillaume Rabusseau, Byron Boots

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Exploiting Singular Configurations for Controllable, Low-Power Friction Enhancement on Unmanned Ground Vehicles.

Adam Foris, Nolan Wagener, Byron Boots, Anirban Mazumdar

IEEE Robotics Autom. Lett., 2020

Imitation learning for agile autonomous driving.

Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

Int. J. Robotics Res., 2020

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

Mandy Xie, Karl Van Wyk, Anqi Li, Muhammad Asif Rana, Dieter Fox, Byron Boots, Nathan D. Ratliff

CoRR, 2020

RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies.

Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff

CoRR, 2020

Explaining Fast Improvement in Online Policy Optimization.

Xinyan Yan, Byron Boots, Ching-An Cheng

CoRR, 2020

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

Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots

CoRR, 2020

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

Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Richard Hartley, Byron Boots

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems.

Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Information Theoretic Model Predictive Q-Learning.

Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Nonprehensile Riemannian Motion Predictive Control.

Hamid Izadinia, Byron Boots, Steven M. Seitz

Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Collaborative Interaction Models for Optimized Human-Robot Teamwork.

Adam Fishman, Chris Paxton, Wei Yang, Dieter Fox, Byron Boots, Nathan D. Ratliff

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

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

Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Differentiable Gaussian Process Motion Planning.

Mohak Bhardwaj, Byron Boots, Mustafa Mukadam

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Composing Task-Agnostic Policies with Deep Reinforcement Learning.

Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip

Proceedings of the 8th International Conference on Learning Representations, 2020

Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization.

Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard I. Hartley, Byron Boots

Proceedings of the Computer Vision - ECCV 2020, 2020

Stein Variational Model Predictive Control.

Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman

Proceedings of the 4th Conference on Robot Learning, 2020

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

Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg

Proceedings of the 4th Conference on Robot Learning, 2020

Online Learning with Continuous Variations: Dynamic Regret and Reductions.

Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

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

Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Expressiveness and Learning of Hidden Quantum Markov Models.

Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Continuous Online Learning and New Insights to Online Imitation Learning.

Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots

CoRR, 2019

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

Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox

CoRR, 2019

Composing Ensembles of Policies with Deep Reinforcement Learning.

Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Byron Boots, Michael C. Yip

CoRR, 2019

Learning to Find Common Objects Across Image Collections.

Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley

CoRR, 2019

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

Sandesh Adhikary, Siddarth Srinivasan, Byron Boots

CoRR, 2019

STEAP: simultaneous trajectory estimation and planning.

Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots

Auton. Robots, 2019

An Online Learning Approach to Model Predictive Control.

Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots

Proceedings of the Robotics: Science and Systems XV, 2019

Multi-objective Policy Generation for Multi-robot Systems Using Riemannian Motion Policies.

Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots

Proceedings of the Robotics Research, 2019

Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference.

Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Robust Learning of Tactile Force Estimation through Robot Interaction.

Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox

Proceedings of the International Conference on Robotics and Automation, 2019

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

Alexander Sasha Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox

Proceedings of the International Conference on Robotics and Automation, 2019

Predictor-Corrector Policy Optimization.

Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots

Proceedings of the 36th International Conference on Machine Learning, 2019

Provably Efficient Imitation Learning from Observation Alone.

Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell

Proceedings of the 36th International Conference on Machine Learning, 2019

Adversarial Imitation via Variational Inverse Reinforcement Learning.

Ahmed Hussain Qureshi, Byron Boots, Michael C. Yip

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Find Common Objects Across Few Image Collections.

Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.

Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping.

Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

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

Ching-An Cheng, Xinyan Yan, Byron Boots

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks.

Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Truncated Back-propagation for Bilevel Optimization.

Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Accelerating Imitation Learning with Predictive Models.

Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Continuous-time Gaussian process motion planning via probabilistic inference.

Mustafa Mukadam, Jing Dong, Xinyan Yan, Frank Dellaert, Byron Boots

Int. J. Robotics Res., 2018

RMPflow: A Computational Graph for Automatic Motion Policy Generation.

Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff

CoRR, 2018

Model-Based Imitation Learning with Accelerated Convergence.

Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

CoRR, 2018

RMP<i>flow</i>: A Computational Graph for Automatic Motion Policy Generation.

Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Fast Policy Learning through Imitation and Reinforcement.

Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

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

Krzysztof Choromanski, Vikas Sindhwani, Brandon Jones, Damien Jourdan, Maciej Chociej, Byron Boots

Proceedings of the 2018 IEEE International Symposium on Safety, 2018

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

Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

Proceedings of the Robotics: Science and Systems XIV, 2018

Learning and Inference in Hilbert Space with Quantum Graphical Models.

Siddarth Srinivasan, Carlton Downey, Byron Boots

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Orthogonally Decoupled Variational Gaussian Processes.

Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Peter Deisenroth

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Differentiable MPC for End-to-end Planning and Control.

Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dual Policy Iteration.

Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Munzir Zafar, Areeb Mehmood, Mouhyemen Khan, Shimin Zhang, Muhammad Ali Murtaza, Victor Aladele, Evangelos A. Theodorou, Seth Hutchinson, Byron Boots

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments.

Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Semantically Meaningful View Selection.

Joris Guérin, Olivier Gibaru, Eric Nyiri, Stéphane Thiery, Byron Boots

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Optical Sensing and Control Methods for Soft Pneumatically Actuated Robotic Manipulators.

Jennifer L. Molnar, Ching-An Cheng, Lucas O. Tiziani, Byron Boots, Frank L. Hammond

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Deep Forward and Inverse Perceptual Models for Tracking and Prediction.

Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

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

Jing Dong, Mustafa Mukadam, Byron Boots, Frank Dellaert

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Initialization matters: Orthogonal Predictive State Recurrent Neural Networks.

Krzysztof Choromanski, Carlton Downey, Byron Boots

Proceedings of the 6th International Conference on Learning Representations, 2018

Truncated horizon Policy Search: Combining Reinforcement Learning & Imitation Learning.

Wen Sun, J. Andrew Bagnell, Byron Boots

Proceedings of the 6th International Conference on Learning Representations, 2018

Improving Image Clustering With Multiple Pretrained CNN Feature Extractors.

Joris Guérin, Byron Boots

Proceedings of the British Machine Vision Conference 2018, 2018

Learning Hidden Quantum Markov Models.

Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Convergence of Value Aggregation for Imitation Learning.

Ching-An Cheng, Byron Boots

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Learning to Align Images Using Weak Geometric Supervision.

Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta N. Sinha

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

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

Xinyan Yan, Vadim Indelman, Byron Boots

Robotics Auton. Syst., 2017

Manifold Regularization for Kernelized LSTD.

Xinyan Yan, Krzysztof Choromanski, Byron Boots, Vikas Sindhwani

CoRR, 2017

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

Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

CoRR, 2017

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

Jing Dong, Byron Boots, Frank Dellaert

CoRR, 2017

Simultaneous Trajectory Estimation and Planning via Probabilistic Inference.

Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots

Proceedings of the Robotics: Science and Systems XIII, 2017

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

Eric Huang, Ankit Bhatia, Byron Boots, Matthew T. Mason

Proceedings of the Robotics: Science and Systems XIII, 2017

Predictive-State Decoders: Encoding the Future into Recurrent Networks.

Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predictive State Recurrent Neural Networks.

Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Variational Inference for Gaussian Process Models with Linear Complexity.

Ching-An Cheng, Byron Boots

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Information theoretic MPC for model-based reinforcement learning.

Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

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

Mustafa Mukadam, Ching-An Cheng, Xinyan Yan, Byron Boots

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Motion planning with graph-based trajectories and Gaussian process inference.

Eric Huang, Mustafa Mukadam, Zhen Liu, Byron Boots

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

4D crop monitoring: Spatio-temporal reconstruction for agriculture.

Jing Dong, John Gary Burnham, Byron Boots, Glen C. Rains, Frank Dellaert

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction.

Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell

Proceedings of the 34th International Conference on Machine Learning, 2017

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

Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

Proceedings of the 34th International Conference on Machine Learning, 2017

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

Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

One-Shot Learning for Semantic Segmentation.

Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots

Proceedings of the British Machine Vision Conference 2017, 2017

Learning from Conditional Distributions via Dual Embeddings.

Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

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

Brian Hrolenok, Byron Boots, Tucker Hybinette Balch

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference.

Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots

CoRR, 2016

Learning from Conditional Distributions via Dual Kernel Embeddings.

Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song

CoRR, 2016

Learning to Smooth with Bidirectional Predictive State Inference Machines.

Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces.

Zita Marinho, Byron Boots, Anca D. Dragan, Arunkumar Byravan, Geoffrey J. Gordon, Siddhartha S. Srinivasa

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs.

Jing Dong, Mustafa Mukadam, Frank Dellaert, Byron Boots

Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Incremental Variational Sparse Gaussian Process Regression.

Ching-An Cheng, Byron Boots

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Simulation-based design of dynamic controllers for humanoid balancing.

Jie Tan, Zhaoming Xie, Byron Boots, C. Karen Liu

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Inference Machines for Nonparametric Filter Learning.

Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Gaussian Process Motion planning.

Mustafa Mukadam, Xinyan Yan, Byron Boots

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Learning to Filter with Predictive State Inference Machines.

Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell

Proceedings of the 33nd International Conference on Machine Learning, 2016

The Nonparametric Kernel Bayes Smoother.

Yu Nishiyama, Amir Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Online Instrumental Variable Regression with Applications to Online Linear System Identification.

Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping.

Xinyan Yan, Vadim Indelman, Byron Boots

CoRR, 2015

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

Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Graph-Based Inverse Optimal Control for Robot Manipulation.

Arunkumar Byravan, Mathew Monfort, Brian D. Ziebart, Byron Boots, Dieter Fox

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Space-time functional gradient optimization for motion planning.

Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Dieter Fox

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

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

Byron Boots, Arunkumar Byravan, Dieter Fox

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Hilbert Space Embeddings of Predictive State Representations.

Byron Boots, Geoffrey J. Gordon, Arthur Gretton

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

A Spectral Learning Approach to Range-Only SLAM.

Byron Boots, Geoffrey J. Gordon

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Two Manifold Problems with Applications to Nonlinear System Identification.

Byron Boots, Geoffrey J. Gordon

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Spectral Approaches to Learning Predictive Representations.

Byron Boots

PhD thesis, 2011

Closing the learning-planning loop with predictive state representations.

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

Int. J. Robotics Res., 2011

Two-Manifold Problems

Byron Boots, Geoffrey J. Gordon

CoRR, 2011

An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems.

Byron Boots, Geoffrey J. Gordon

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Reduced-Rank Hidden Markov Models.

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

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Predictive State Temporal Difference Learning.

Byron Boots, Geoffrey J. Gordon

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Hilbert Space Embeddings of Hidden Markov Models.

Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2008

Learning Cognitive Maps: Finding Useful Structure in an Uncertain World.

Eric Chown, Byron Boots

Proceedings of the Robotics and Cognitive Approaches to Spatial Mapping, 2008

2007

A Constraint Generation Approach to Learning Stable Linear Dynamical Systems.

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

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2005

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

Stephen M. Majercik, Byron Boots

Proceedings of the Proceedings, 2005