default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDByron Boots
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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 - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]Andrew Wagenmaker, Kevin Huang, Liyiming Ke, Byron Boots, Kevin G. Jamieson, Abhishek Gupta:
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL. CoRR abs/2410.20254 (2024) - [i106]Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam:
Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRR abs/2410.24090 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 00:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
