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2020 – today
- 2024
[c129]Sandesh Adhikary, Anqi Li, Byron Boots:
BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images. ICML 2024- [c128]Sanghun Jung, Joonho Lee, Xiangyun Meng, Byron Boots, Alexander Lambert:
V-STRONG: Visual Self-Supervised Traversability Learning for Off-road Navigation. ICRA 2024: 1766-1773 - [c127]Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha S. Srinivasa, Byron Boots:
Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. ICRA 2024: 4598-4604 - [c126]Rosario Scalise, Ege Caglar, Byron Boots, Chad C. Kessens:
Toward Self-Righting and Recovery in the Wild: Challenges and Benchmarks. ICRA 2024: 15329-15335 - [c125]Jacob Sacks, Rwik Rana, Kevin Huang, Alexander Spitzer, Guanya Shi, Byron Boots:
Deep Model Predictive Optimization. ICRA 2024: 16945-16953 - [c124]Satoshi Nakamura, Carolina Higuera, Mohak Bhardwaj, Byron Boots:
Robotic System Performing Dynamic Interaction in Human-Robot Cooperative Work for Assembly Operation. SII 2024: 1132-1138 - [i109]Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha S. Srinivasa, Byron Boots:
Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving. CoRR abs/2403.11298 (2024) - [i108]Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao:
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. CoRR abs/2403.18197 (2024) - [i107]Tyler Han, Sidharth Talia, Rohan Panicker, Preet Shah, Neel Jawale, Byron Boots:
Dynamics Models in the Aggressive Off-Road Driving Regime. CoRR abs/2405.16487 (2024) - [i106]Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots:
Agile Continuous Jumping in Discontinuous Terrains. CoRR abs/2409.10923 (2024) - 2023
- [c123]Kevin Huang, Rwik Rana, Alexander Spitzer, Guanya Shi, Byron Boots:
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control. CoRL 2023: 326-340 - [c122]Boling Yang, Soofiyan Atar, Markus Grotz, Byron Boots, Joshua R. Smith:
DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers. CoRL 2023: 2096-2112 - [c121]Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. CoRL 2023: 2791-2806 - [c120]Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo:
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. ICCV 2023: 19014-19025 - [c119]Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots:
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation. ICCV 2023: 19727-19737 - [c118]Anqi Li, Byron Boots, Ching-An Cheng:
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations. ICML 2023: 19360-19384 - [c117]Boling Yang, Liyuan Zheng, Lillian J. Ratliff, Byron Boots, Joshua R. Smith:
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula. ICRA 2023: 5501-5507 - [c116]Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam:
Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing. ICRA 2023: 12576-12582 - [c115]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. L4DC 2023: 770-782 - [c114]Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng:
Adversarial Model for Offline Reinforcement Learning. NeurIPS 2023 - [c113]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:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. Robotics: Science and Systems 2023 - [i105]Mohak Bhardwaj, Tengyang Xie, Byron Boots, Nan Jiang, Ching-An Cheng:
Adversarial Model for Offline Reinforcement Learning. CoRR abs/2302.11048 (2023) - [i104]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:
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. CoRR abs/2303.15771 (2023) - [i103]Anqi Li, Byron Boots, Ching-An Cheng:
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations. CoRR abs/2303.17156 (2023) - [i102]Carolina Higuera, Byron Boots, Mustafa Mukadam:
Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models. CoRR abs/2304.01182 (2023) - [i101]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. CoRR abs/2304.08663 (2023) - [i100]Boling Yang, Liyuan Zheng, Lillian J. Ratliff, Byron Boots, Joshua R. Smith:
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula. CoRR abs/2305.03735 (2023) - [i99]Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. CoRR abs/2306.09557 (2023) - [i98]Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots:
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation. CoRR abs/2309.13523 (2023) - [i97]Carolina Higuera, Joseph Ortiz, Haozhi Qi, Luis Pineda, Byron Boots, Mustafa Mukadam:
Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies. CoRR abs/2309.16652 (2023) - [i96]Jacob Sacks, Rwik Rana, Kevin Huang, Alexander Spitzer, Guanya Shi, Byron Boots:
Deep Model Predictive Optimization. CoRR abs/2310.04590 (2023) - [i95]Kevin Huang, Rwik Rana, Alexander Spitzer, Guanya Shi, Byron Boots:
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control. CoRR abs/2310.09053 (2023) - [i94]Tyler Han, Alex Liu, Anqi Li, Alexander Spitzer, Guanya Shi, Byron Boots:
Model Predictive Control for Aggressive Driving Over Uneven Terrain. CoRR abs/2311.12284 (2023) - [i93]Sanghun Jung, Joonho Lee, Xiangyun Meng, Byron Boots, Alexander Lambert:
V-STRONG: Visual Self-Supervised Traversability Learning for Off-road Navigation. CoRR abs/2312.16016 (2023) - 2022
- [j11]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:
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior. IEEE Robotics Autom. Lett. 7(2): 3202-3209 (2022) - [j10]Hayden Nichols, Mark Jimenez, Zachary Goddard, Michael Sparapany, Byron Boots, Anirban Mazumdar:
Adversarial Sampling-Based Motion Planning. IEEE Robotics Autom. Lett. 7(2): 4267-4274 (2022) - [c112]Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox:
Motion Policy Networks. CoRL 2022: 967-977 - [c111]Jacob Sacks, Byron Boots:
Learning Sampling Distributions for Model Predictive Control. CoRL 2022: 1733-1742 - [c110]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRL 2022: 2205-2214 - [c109]Sandesh Adhikary, Byron Boots:
Sampling Over Riemannian Manifolds Using Kernel Herding. ICRA 2022: 3646-3653 - [c108]Jacob Sacks, Byron Boots:
Learning to Optimize in Model Predictive Control. ICRA 2022: 10549-10556 - [c107]Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots:
Stein Variational Probabilistic Roadmaps. ICRA 2022: 11094-11101 - [c106]Julen Urain, An T. Le, Alexander Lambert, Georgia Chalvatzaki, Byron Boots, Jan Peters:
Learning Implicit Priors for Motion Optimization. IROS 2022: 7672-7679 - [c105]Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley:
Few-shot Weakly-Supervised Object Detection via Directional Statistics. WACV 2022: 1040-1049 - [i92]Boling Yang, Golnaz Habibi, Patrick E. Lancaster, Byron Boots, Joshua R. Smith:
Motivating Physical Activity via Competitive Human-Robot Interaction. CoRR abs/2202.07068 (2022) - [i91]Alexander Lambert, An T. Le, Julen Urain, Georgia Chalvatzaki, Byron Boots, Jan Peters:
Learning Implicit Priors for Motion Optimization. CoRR abs/2204.05369 (2022) - [i90]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRR abs/2206.13631 (2022) - [i89]Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam:
Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing. CoRR abs/2210.09297 (2022) - [i88]Adam Fishman, Adithyavairavan Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox:
Motion Policy Networks. CoRR abs/2210.12209 (2022) - [i87]Jacob Sacks, Byron Boots:
Learning Sampling Distributions for Model Predictive Control. CoRR abs/2212.02587 (2022) - [i86]Jacob Sacks, Byron Boots:
Learning to Optimize in Model Predictive Control. CoRR abs/2212.02603 (2022) - 2021
- [j9]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging experience in lazy search. Auton. Robots 45(7): 979-996 (2021) - [j8]Joris Guérin, Stéphane Thiery, Eric Nyiri, Olivier Gibaru, Byron Boots:
Combining pretrained CNN feature extractors to enhance clustering of complex natural images. Neurocomputing 423: 551-571 (2021) - [j7]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Geometric Framework for Generation of Multitask Motion Policies. IEEE Trans Autom. Sci. Eng. 18(3): 968-987 (2021) - [c104]Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Guillaume Rabusseau, Byron Boots:
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. AISTATS 2021: 2080-2088 - [c103]Amirreza Shaban, Xiangyun Meng, Joonho Lee, Byron Boots, Dieter Fox:
Semantic Terrain Classification for Off-Road Autonomous Driving. CoRL 2021: 619-629 - [c102]Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots:
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation. CoRL 2021: 750-759 - [c101]Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots:
Fast and Efficient Locomotion via Learned Gait Transitions. CoRL 2021: 773-783 - [c100]Boling Yang, Golnaz Habibi, Patrick Lancaster, Byron Boots, Joshua R. Smith:
Motivating Physical Activity via Competitive Human-Robot Interaction. CoRL 2021: 839-849 - [c99]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots:
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. ICLR 2021 - [c98]Nolan Wagener, Byron Boots, Ching-An Cheng:
Safe Reinforcement Learning Using Advantage-Based Intervention. ICML 2021: 10630-10640 - [c97]Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. ICRA 2021: 6185-6191 - [c96]Nathan Hatch, Byron Boots:
The Value of Planning for Infinite-Horizon Model Predictive Control. ICRA 2021: 7372-7378 - [c95]Muhammad Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan D. Ratliff:
Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees. IROS 2021: 7792-7799 - [c94]Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos:
Dual Online Stein Variational Inference for Control and Dynamics. Robotics: Science and Systems 2021 - [c93]Anqi Li, Ching-An Cheng, Muhammad Asif Rana, Man Xie, Karl Van Wyk, Nathan D. Ratliff, Byron Boots:
RMP2: A Structured Composable Policy Class for Robot Learning. Robotics: Science and Systems 2021 - [c92]Xinyan Yan, Byron Boots, Ching-An Cheng:
Explaining fast improvement in online imitation learning. UAI 2021: 1874-1884 - [i85]Joris Guérin, Stéphane Thiery, Eric Nyiri, Olivier Gibaru, Byron Boots:
Combining pretrained CNN feature extractors to enhance clustering of complex natural images. CoRR abs/2101.02767 (2021) - [i84]Anqi Li, Ching-An Cheng, Muhammad Asif Rana, Man Xie, Karl Van Wyk, Nathan D. Ratliff, Byron Boots:
RMP2: A Structured Composable Policy Class for Robot Learning. CoRR abs/2103.05922 (2021) - [i83]Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos:
Dual Online Stein Variational Inference for Control and Dynamics. CoRR abs/2103.12890 (2021) - [i82]Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard I. Hartley:
Few-shot Weakly-Supervised Object Detection via Directional Statistics. CoRR abs/2103.14162 (2021) - [i81]Nathan Hatch, Byron Boots:
The Value of Planning for Infinite-Horizon Model Predictive Control. CoRR abs/2104.02863 (2021) - [i80]Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots:
Fast and Efficient Locomotion via Learned Gait Transitions. CoRR abs/2104.04644 (2021) - [i79]Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots:
Fast Joint Space Model-Predictive Control for Reactive Manipulation. CoRR abs/2104.13542 (2021) - [i78]Mandy Xie, Anqi Li, Karl Van Wyk, Frank Dellaert, Byron Boots, Nathan D. Ratliff:
CoDE: Collocation for Demonstration Encoding. CoRR abs/2105.03019 (2021) - [i77]Nolan Wagener, Byron Boots, Ching-An Cheng:
Safe Reinforcement Learning Using Advantage-Based Intervention. CoRR abs/2106.09110 (2021) - [i76]Alexander Lambert, Byron Boots:
Entropy Regularized Motion Planning via Stein Variational Inference. CoRR abs/2107.05146 (2021) - [i75]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:
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior. CoRR abs/2109.10443 (2021) - [i74]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/2110.04669 (2021) - [i73]Alexander Lambert, Brian Hou, Rosario Scalise, Siddhartha S. Srinivasa, Byron Boots:
Stein Variational Probabilistic Roadmaps. CoRR abs/2111.02972 (2021) - [i72]Hamid Izadinia, Byron Boots, Steven M. Seitz:
Nonprehensile Riemannian Motion Predictive Control. CoRR abs/2111.07986 (2021) - 2020
- [j6]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Imitation learning for agile autonomous driving. Int. J. Robotics Res. 39(2-3) (2020) - [j5]Adam Foris, Nolan Wagener, Byron Boots, Anirban Mazumdar:
Exploiting Singular Configurations for Controllable, Low-Power Friction Enhancement on Unmanned Ground Vehicles. IEEE Robotics Autom. Lett. 5(2): 3556-3563 (2020) - [c91]Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots:
Online Learning with Continuous Variations: Dynamic Regret and Reductions. AISTATS 2020: 2218-2228 - [c90]Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon:
A Reduction from Reinforcement Learning to No-Regret Online Learning. AISTATS 2020: 3514-3524 - [c89]Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Expressiveness and Learning of Hidden Quantum Markov Models. AISTATS 2020: 4151-4161 - [c88]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Anima Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRL 2020: 883-894 - [c87]Alexander Lambert, Fabio Ramos, Byron Boots, Dieter Fox, Adam Fishman:
Stein Variational Model Predictive Control. CoRL 2020: 1278-1297 - [c86]Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard I. Hartley, Byron Boots:
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization. ECCV (24) 2020: 395-412 - [c85]Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip:
Composing Task-Agnostic Policies with Deep Reinforcement Learning. ICLR 2020 - [c84]Ajay Mandlekar, Fabio Ramos, Byron Boots, Silvio Savarese, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. ICRA 2020: 4414-4420 - [c83]Mohak Bhardwaj, Byron Boots, Mustafa Mukadam:
Differentiable Gaussian Process Motion Planning. ICRA 2020: 10598-10604 - [c82]Adam Fishman, Chris Paxton, Wei Yang, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Collaborative Interaction Models for Optimized Human-Robot Teamwork. IROS 2020: 11221-11228 - [c81]Hamid Izadinia, Byron Boots, Steven M. Seitz:
Nonprehensile Riemannian Motion Predictive Control. ISER 2020: 611-621 - [c80]Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff:
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. L4DC 2020: 630-639 - [c79]Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots:
Information Theoretic Model Predictive Q-Learning. L4DC 2020: 840-850 - [c78]Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Richard Hartley, Byron Boots:
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. NeurIPS 2020 - [i71]Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots:
Information Theoretic Model Predictive Q-Learning. CoRR abs/2001.02153 (2020) - [i70]Amir Rahimi, Amirreza Shaban, Ching-An Cheng, Byron Boots, Richard Hartley:
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks. CoRR abs/2003.06820 (2020) - [i69]Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots:
In Defense of Graph Inference Algorithms for Weakly Supervised Object Localization. CoRR abs/2003.08375 (2020) - [i68]Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff:
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. CoRR abs/2005.13143 (2020) - [i67]Xinyan Yan, Byron Boots, Ching-An Cheng:
Explaining Fast Improvement in Online Policy Optimization. CoRR abs/2007.02520 (2020) - [i66]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies. CoRR abs/2007.14256 (2020) - [i65]Xingye Da, Zhaoming Xie, David Hoeller, Byron Boots, Animashree Anandkumar, Yuke Zhu, Buck Babich, Animesh Garg:
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion. CoRR abs/2009.10019 (2020) - [i64]Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Guillaume Rabusseau, Byron Boots:
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. CoRR abs/2010.10653 (2020) - [i63]Mandy Xie, Karl Van Wyk, Anqi Li, Muhammad Asif Rana, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Geometric Fabrics for the Acceleration-based Design of Robotic Motion. CoRR abs/2010.14750 (2020) - [i62]Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S. Srinivasa:
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation. CoRR abs/2011.06719 (2020) - [i61]Alexander Lambert, Adam Fishman, Dieter Fox, Byron Boots, Fabio Ramos:
Stein Variational Model Predictive Control. CoRR abs/2011.07641 (2020) - [i60]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots:
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning. CoRR abs/2012.05909 (2020) - [i59]Muhammad Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan D. Ratliff:
Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees. CoRR abs/2012.13457 (2020)
2010 – 2019
- 2019
- [j4]Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots:
STEAP: simultaneous trajectory estimation and planning. Auton. Robots 43(2): 415-434 (2019) - [c77]Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots:
Truncated Back-propagation for Bilevel Optimization. AISTATS 2019: 1723-1732 - [c76]Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Accelerating Imitation Learning with Predictive Models. AISTATS 2019: 3187-3196 - [c75]Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt:
Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks. CDC 2019: 1144-1151 - [c74]Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. CoRL 2019: 204-219 - [c73]Ching-An Cheng, Xinyan Yan, Byron Boots:
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. CoRL 2019: 1379-1394 - [c72]Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations. CoRL 2019: 1457-1468 - [c71]Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots, Richard Hartley:
Learning to Find Common Objects Across Few Image Collections. ICCV 2019: 5116-5125 - [c70]Ahmed Hussain Qureshi, Byron Boots, Michael C. Yip:
Adversarial Imitation via Variational Inverse Reinforcement Learning. ICLR (Poster) 2019 - [c69]Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots:
Predictor-Corrector Policy Optimization. ICML 2019: 1151-1161 - [c68]Wen Sun, Anirudh Vemula, Byron Boots, Drew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. ICML 2019: 6036-6045 - [c67]Alexander Sasha Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox:
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing. ICRA 2019: 3165-3171 - [c66]Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox:
Robust Learning of Tactile Force Estimation through Robot Interaction. ICRA 2019: 9035-9042 - [c65]Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam:
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference. IROS 2019: 2358-2364 - [c64]Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots:
Multi-objective Policy Generation for Multi-robot Systems Using Riemannian Motion Policies. ISRR 2019: 258-274 - [c63]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. Robotics: Science and Systems 2019 - [c62]Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. Robotics: Science and Systems 2019 - [i58]Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots:
Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies. CoRR abs/1902.05177 (2019) - [i57]Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots:
Online Learning with Continuous Variations: Dynamic Regret and Reductions. CoRR abs/1902.07286 (2019) - [i56]Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots:
An Online Learning Approach to Model Predictive Control. CoRR abs/1902.08967 (2019) - [i55]Alexander Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox:
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing. CoRR abs/1903.03699 (2019) - [i54]Sandesh Adhikary, Siddarth Srinivasan, Byron Boots:
Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold. CoRR abs/1903.03730 (2019) - [i53]Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt:
Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks. CoRR abs/1903.12605 (2019) - [i52]Amirreza Shaban, Amir Rahimi, Stephen Gould, Byron Boots, Richard I. Hartley:
Learning to Find Common Objects Across Image Collections. CoRR abs/1904.12936 (2019) - [i51]Ahmed Hussain Qureshi, Jacob J. Johnson, Yuzhe Qin, Byron Boots, Michael C. Yip:
Composing Ensembles of Policies with Deep Reinforcement Learning. CoRR abs/1905.10681 (2019) - [i50]Wen Sun, Anirudh Vemula, Byron Boots, J. Andrew Bagnell:
Provably Efficient Imitation Learning from Observation Alone. CoRR abs/1905.10948 (2019) - [i49]Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots, Siddhartha S. Srinivasa:
Leveraging Experience in Lazy Search. CoRR abs/1907.07238 (2019) - [i48]Mohak Bhardwaj, Byron Boots, Mustafa Mukadam:
Differentiable Gaussian Process Motion Planning. CoRR abs/1907.09591 (2019) - [i47]Keshav Kolur, Sahit Chintalapudi, Byron Boots, Mustafa Mukadam:
Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference. CoRR abs/1908.00641 (2019) - [i46]Ching-An Cheng, Xinyan Yan, Byron Boots:
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. CoRR abs/1908.03263 (2019) - [i45]Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. CoRR abs/1910.02646 (2019) - [i44]Ajay Mandlekar, Fabio Ramos, Byron Boots, Li Fei-Fei, Animesh Garg, Dieter Fox:
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data. CoRR abs/1911.05321 (2019) - [i43]Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon:
A Reduction from Reinforcement Learning to No-Regret Online Learning. CoRR abs/1911.05873 (2019) - [i42]Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots:
Continuous Online Learning and New Insights to Online Imitation Learning. CoRR abs/1912.01261 (2019) - [i41]Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Expressiveness and Learning of Hidden Quantum Markov Models. CoRR abs/1912.02098 (2019) - 2018
- [j3]Mustafa Mukadam, Jing Dong, Xinyan Yan, Frank Dellaert, Byron Boots:
Continuous-time Gaussian process motion planning via probabilistic inference. Int. J. Robotics Res. 37(11) (2018) - [c61]Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta N. Sinha:
Learning to Align Images Using Weak Geometric Supervision. 3DV 2018: 700-709 - [c60]Ching-An Cheng, Byron Boots:
Convergence of Value Aggregation for Imitation Learning. AISTATS 2018: 1801-1809 - [c59]Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots:
Learning Hidden Quantum Markov Models. AISTATS 2018: 1979-1987 - [c58]Joris Guérin, Byron Boots:
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors. BMVC 2018: 51 - [c57]Wen Sun, J. Andrew Bagnell, Byron Boots:
Truncated horizon Policy Search: Combining Reinforcement Learning & Imitation Learning. ICLR (Poster) 2018 - [c56]Krzysztof Choromanski, Carlton Downey, Byron Boots:
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks. ICLR (Poster) 2018 - [c55]Jennifer L. Molnar, Ching-An Cheng, Lucas O. Tiziani, Byron Boots, Frank L. Hammond:
Optical Sensing and Control Methods for Soft Pneumatically Actuated Robotic Manipulators. ICRA 2018: 1-8 - [c54]Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots:
Deep Forward and Inverse Perceptual Models for Tracking and Prediction. ICRA 2018: 675-682 - [c53]Jing Dong, Mustafa Mukadam, Byron Boots, Frank Dellaert:
Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time Trajectories. ICRA 2018: 6497-6504 - [c52]Joris Guérin, Olivier Gibaru, Eric Nyiri, Stéphane Thiery, Byron Boots:
Semantically Meaningful View Selection. IROS 2018: 1061-1066 - [c51]Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots:
Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments. IROS 2018: 4655-4660 - [c50]Munzir Zafar, Areeb Mehmood, Mouhyemen Khan, Shimin Zhang, Muhammad Ali Murtaza, Victor Aladele, Evangelos A. Theodorou, Seth Hutchinson, Byron Boots:
Semi-parametric Approaches to Learning in Model-Based Hierarchical Control of Complex Systems. ISER 2018: 387-397 - [c49]Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Dual Policy Iteration. NeurIPS 2018: 7059-7069 - [c48]Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter:
Differentiable MPC for End-to-end Planning and Control. NeurIPS 2018: 8299-8310 - [c47]Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Peter Deisenroth:
Orthogonally Decoupled Variational Gaussian Processes. NeurIPS 2018: 8725-8734 - [c46]Siddarth Srinivasan, Carlton Downey, Byron Boots:
Learning and Inference in Hilbert Space with Quantum Graphical Models. NeurIPS 2018: 10359-10368 - [c45]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Agile Autonomous Driving using End-to-End Deep Imitation Learning. Robotics: Science and Systems 2018 - [c44]Krzysztof Choromanski, Vikas Sindhwani, Brandon Jones, Damien Jourdan, Maciej Chociej, Byron Boots:
Learning-based Air Data System for Safe and Efficient Control of Fixed-wing Aerial Vehicles. SSRR 2018: 1-8 - [c43]Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots:
Fast Policy Learning through Imitation and Reinforcement. UAI 2018: 845-855 - [c42]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Computational Graph for Automatic Motion Policy Generation. WAFR 2018: 441-457 - [i40]Ching-An Cheng, Byron Boots:
Convergence of Value Aggregation for Imitation Learning. CoRR abs/1801.07292 (2018) - [i39]Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots:
Fast Policy Learning through Imitation and Reinforcement. CoRR abs/1805.10413 (2018) - [i38]Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Dual Policy Iteration. CoRR abs/1805.10755 (2018) - [i37]Wen Sun, J. Andrew Bagnell, Byron Boots:
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning. CoRR abs/1805.11240 (2018) - [i36]Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Model-Based Imitation Learning with Accelerated Convergence. CoRR abs/1806.04642 (2018) - [i35]Joris Guérin, Byron Boots:
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors. CoRR abs/1807.07760 (2018) - [i34]Joris Guérin, Olivier Gibaru, Eric Nyiri, Stéphane Thiery, Byron Boots:
Semantically Meaningful View Selection. CoRR abs/1807.10303 (2018) - [i33]Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots:
STEAP: simultaneous trajectory estimation and planning. CoRR abs/1807.10425 (2018) - [i32]Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots:
Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments. CoRR abs/1808.00349 (2018) - [i31]Jing Dong, Byron Boots, Frank Dellaert, Ranveer Chandra, Sudipta N. Sinha:
Learning to Align Images using Weak Geometric Supervision. CoRR abs/1808.01424 (2018) - [i30]Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Peter Deisenroth:
Orthogonally Decoupled Variational Gaussian Processes. CoRR abs/1809.08820 (2018) - [i29]Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox:
Robust Learning of Tactile Force Estimation through Robot Interaction. CoRR abs/1810.06187 (2018) - [i28]Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots:
Predictor-Corrector Policy Optimization. CoRR abs/1810.06509 (2018) - [i27]Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots:
Truncated Back-propagation for Bilevel Optimization. CoRR abs/1810.10667 (2018) - [i26]Siddarth Srinivasan, Carlton Downey, Byron Boots:
Learning and Inference in Hilbert Space with Quantum Graphical Models. CoRR abs/1810.12369 (2018) - [i25]Brandon Amos, Ivan Dario Jimenez Rodriguez, Jacob Sacks, Byron Boots, J. Zico Kolter:
Differentiable MPC for End-to-end Planning and Control. CoRR abs/1810.13400 (2018) - [i24]Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff:
RMPflow: A Computational Graph for Automatic Motion Policy Generation. CoRR abs/1811.07049 (2018) - 2017
- [j2]Xinyan Yan, Vadim Indelman, Byron Boots:
Incremental sparse GP regression for continuous-time trajectory estimation and mapping. Robotics Auton. Syst. 87: 120-132 (2017) - [c41]Brian Hrolenok, Byron Boots, Tucker Hybinette Balch:
Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems. AAAI 2017: 2022-2028 - [c40]Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song:
Learning from Conditional Distributions via Dual Embeddings. AISTATS 2017: 1458-1467 - [c39]Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots:
One-Shot Learning for Semantic Segmentation. BMVC 2017 - [c38]Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots:
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning. CoRL 2017: 109-118 - [c37]Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control. ICML 2017: 2760-2768 - [c36]Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. ICML 2017: 3309-3318 - [c35]Mustafa Mukadam, Ching-An Cheng, Xinyan Yan, Byron Boots:
Approximately optimal continuous-time motion planning and control via Probabilistic Inference. ICRA 2017: 664-671 - [c34]Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou:
Information theoretic MPC for model-based reinforcement learning. ICRA 2017: 1714-1721 - [c33]Jing Dong, John Gary Burnham, Byron Boots, Glen C. Rains, Frank Dellaert:
4D crop monitoring: Spatio-temporal reconstruction for agriculture. ICRA 2017: 3878-3885 - [c32]Eric Huang, Mustafa Mukadam, Zhen Liu, Byron Boots:
Motion planning with graph-based trajectories and Gaussian process inference. ICRA 2017: 5591-5598 - [c31]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, James Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. NIPS 2017: 1172-1183 - [c30]Ching-An Cheng, Byron Boots:
Variational Inference for Gaussian Process Models with Linear Complexity. NIPS 2017: 5184-5194 - [c29]Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li:
Predictive State Recurrent Neural Networks. NIPS 2017: 6053-6064 - [c28]Eric Huang, Ankit Bhatia, Byron Boots, Matthew T. Mason:
Exact Bounds on the Contact Driven Motion of a Sliding Object, With Applications to Robotic Pulling. Robotics: Science and Systems 2017 - [c27]Mustafa Mukadam, Jing Dong, Frank Dellaert, Byron Boots:
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference. Robotics: Science and Systems 2017 - [i23]Mustafa Mukadam, Ching-An Cheng, Xinyan Yan, Byron Boots:
Approximately Optimal Continuous-Time Motion Planning and Control via Probabilistic Inference. CoRR abs/1702.07335 (2017) - [i22]Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell:
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. CoRR abs/1703.01030 (2017) - [i21]Jing Dong, Byron Boots, Frank Dellaert:
Sparse Gaussian Processes for Continuous-Time Trajectory Estimation on Matrix Lie Groups. CoRR abs/1705.06020 (2017) - [i20]Mustafa Mukadam, Jing Dong, Xinyan Yan, Frank Dellaert, Byron Boots:
Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference. CoRR abs/1707.07383 (2017) - [i19]Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa, Byron Boots:
One-Shot Learning for Semantic Segmentation. CoRR abs/1709.03410 (2017) - [i18]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning. CoRR abs/1709.07174 (2017) - [i17]Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani, J. Andrew Bagnell:
Predictive-State Decoders: Encoding the Future into Recurrent Networks. CoRR abs/1709.08520 (2017) - [i16]Xinyan Yan, Krzysztof Choromanski, Byron Boots, Vikas Sindhwani:
Manifold Regularization for Kernelized LSTD. CoRR abs/1710.05387 (2017) - [i15]Alexander Lambert, Amirreza Shaban, Amit Raj, Zhen Liu, Byron Boots:
Deep Forward and Inverse Perceptual Models for Tracking and Prediction. CoRR abs/1710.11311 (2017) - [i14]Ching-An Cheng, Byron Boots:
Variational Inference for Gaussian Process Models with Linear Complexity. CoRR abs/1711.10127 (2017) - 2016
- [c26]Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots:
Online Instrumental Variable Regression with Applications to Online Linear System Identification. AAAI 2016: 2101-2107 - [c25]Yu Nishiyama, Amir Afsharinejad, Shunsuke Naruse, Byron Boots, Le Song:
The Nonparametric Kernel Bayes Smoother. AISTATS 2016: 547-555 - [c24]Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell:
Learning to Filter with Predictive State Inference Machines. ICML 2016: 1197-1205 - [c23]Mustafa Mukadam, Xinyan Yan, Byron Boots:
Gaussian Process Motion planning. ICRA 2016: 9-15 - [c22]Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell:
Inference Machines for Nonparametric Filter Learning. IJCAI 2016: 2074-2081 - [c21]Jie Tan, Zhaoming Xie, Byron Boots, C. Karen Liu:
Simulation-based design of dynamic controllers for humanoid balancing. IROS 2016: 2729-2736 - [c20]Ching-An Cheng, Byron Boots:
Incremental Variational Sparse Gaussian Process Regression. NIPS 2016: 4403-4411 - [c19]Jing Dong, Mustafa Mukadam, Frank Dellaert, Byron Boots:
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs. Robotics: Science and Systems 2016 - [c18]Zita Marinho, Byron Boots, Anca D. Dragan, Arunkumar Byravan, Geoffrey J. Gordon, Siddhartha S. Srinivasa:
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. Robotics: Science and Systems 2016 - [c17]Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots:
Learning to Smooth with Bidirectional Predictive State Inference Machines. UAI 2016 - [i13]Zita Marinho, Anca D. Dragan, Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Geoffrey J. Gordon:
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. CoRR abs/1601.03648 (2016) - [i12]Bo Dai, Niao He, Yunpeng Pan, Byron Boots, Le Song:
Learning from Conditional Distributions via Dual Kernel Embeddings. CoRR abs/1607.04579 (2016) - [i11]Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference. CoRR abs/1608.06235 (2016) - [i10]Jing Dong, John Gary Burnham, Byron Boots, Glen C. Rains, Frank Dellaert:
4D Crop Monitoring: Spatio-Temporal Reconstruction for Agriculture. CoRR abs/1610.02482 (2016) - 2015
- [c16]Arunkumar Byravan, Mathew Monfort, Brian D. Ziebart, Byron Boots, Dieter Fox:
Graph-Based Inverse Optimal Control for Robot Manipulation. IJCAI 2015: 1874-1880 - [c15]Xinyan Yan, Vadim Indelman, Byron Boots:
Incremental Sparse GP Regression for Continuous-Time Trajectory Estimation and Mapping. ISRR (2) 2015: 545-561 - [c14]Amirreza Shaban, Mehrdad Farajtabar, Bo Xie, Le Song, Byron Boots:
Learning Latent Variable Models by Improving Spectral Solutions with Exterior Point Method. UAI 2015: 792-801 - [i9]Xinyan Yan, Vadim Indelman, Byron Boots:
Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping. CoRR abs/1504.02696 (2015) - [i8]Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell:
Learning to Filter with Predictive State Inference Machines. CoRR abs/1512.08836 (2015) - 2014
- [c13]Byron Boots, Arunkumar Byravan, Dieter Fox:
Learning predictive models of a depth camera & manipulator from raw execution traces. ICRA 2014: 4021-4028 - [c12]Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Dieter Fox:
Space-time functional gradient optimization for motion planning. ICRA 2014: 6499-6506 - 2013
- [c11]Byron Boots, Geoffrey J. Gordon:
A Spectral Learning Approach to Range-Only SLAM. ICML (1) 2013: 19-26 - [c10]Byron Boots, Geoffrey J. Gordon, Arthur Gretton:
Hilbert Space Embeddings of Predictive State Representations. UAI 2013 - [i7]Byron Boots, Geoffrey J. Gordon, Arthur Gretton:
Hilbert Space Embeddings of Predictive State Representations. CoRR abs/1309.6819 (2013) - 2012
- [c9]Byron Boots, Geoffrey J. Gordon:
Two Manifold Problems with Applications to Nonlinear System Identification. ICML 2012 - [i6]Byron Boots, Geoffrey J. Gordon:
Two-Manifold Problems with Applications to Nonlinear System Identification. CoRR abs/1206.4648 (2012) - [i5]Byron Boots, Geoffrey J. Gordon:
A Spectral Learning Approach to Range-Only SLAM. CoRR abs/1207.2491 (2012) - 2011
- [b1]Byron Boots:
Spectral Approaches to Learning Predictive Representations. Carnegie Mellon University, USA, 2011 - [j1]Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon:
Closing the learning-planning loop with predictive state representations. Int. J. Robotics Res. 30(7): 954-966 (2011) - [c8]Byron Boots, Geoffrey J. Gordon:
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems. AAAI 2011: 293-300 - [i4]Byron Boots, Geoffrey J. Gordon:
Two-Manifold Problems. CoRR abs/1112.6399 (2011) - 2010
- [c7]Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon:
Closing the learning-planning loop with predictive state representations. AAMAS 2010: 1369-1370 - [c6]Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola:
Hilbert Space Embeddings of Hidden Markov Models. ICML 2010: 991-998 - [c5]Byron Boots, Geoffrey J. Gordon:
Predictive State Temporal Difference Learning. NIPS 2010: 271-279 - [c4]Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon:
Closing the Learning-Planning Loop with Predictive State Representations. Robotics: Science and Systems 2010 - [c3]Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon:
Reduced-Rank Hidden Markov Models. AISTATS 2010: 741-748 - [i3]Byron Boots, Geoffrey J. Gordon:
Predictive State Temporal Difference Learning. CoRR abs/1011.0041 (2010)
2000 – 2009
- 2009
- [i2]Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon:
Reduced-Rank Hidden Markov Models. CoRR abs/0910.0902 (2009) - [i1]Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon:
Closing the Learning-Planning Loop with Predictive State Representations. CoRR abs/0912.2385 (2009) - 2008
- [p1]Eric Chown, Byron Boots:
Learning Cognitive Maps: Finding Useful Structure in an Uncertain World. Robotics and Cognitive Approaches to Spatial Mapping 2008: 215-236 - 2007
- [c2]Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon:
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems. NIPS 2007: 1329-1336 - 2005
- [c1]Stephen M. Majercik, Byron Boots:
DC-SSAT: A Divide-and-Conquer Approach to Solving Stochastic Satisfiability Problems Efficiently. AAAI 2005: 416-422
Coauthor Index
[c118] [c114] [i105] [i103] [j7] [c98] [c93] [c92] [i84] [i77] [j6] [c91] [c90] [c78] [i70] [i67] [i66] [c77] [c76] [c75] [c74] [c73] [c69] [c62] [i57] [i56] [i53] [i46] [i45] [i43] [i42] [c60] [c55] [c47] [c45] [c43] [c42] [i40] [i39] [i36] [i30] [i28] [i27] [i24] [c35] [c30] [i23] [i18] [i14] [c20]
Alexander Lambert
aka: Alexander Sasha Lambert
aka: Alexander Sasha Lambert
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