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Publication search results
found 22 matches
- 2022
- Josue Nassar, Jennifer Rogers Brennan, Ben Evans, Kendall Lowrey:
BAM: Bayes with Adaptive Memory. ICLR 2022 - Josue Nassar, Jennifer Brennan, Ben Evans, Kendall Lowrey:
BAM: Bayes with Adaptive Memory. CoRR abs/2202.02405 (2022) - 2021
- Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa:
Faster Policy Learning with Continuous-Time Gradients. L4DC 2021: 1054-1067 - Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara:
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning. CoRR abs/2106.15775 (2021) - 2020
- Ian Abraham, Ankur Handa, Nathan D. Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox:
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control. IEEE Robotics Autom. Lett. 5(2): 2864-2871 (2020) - Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov:
Lyceum: An efficient and scalable ecosystem for robot learning. L4DC 2020: 793-803 - Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun:
Information Theoretic Regret Bounds for Online Nonlinear Control. NeurIPS 2020 - Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha S. Srinivasa, Emanuel Todorov:
Lyceum: An efficient and scalable ecosystem for robot learning. CoRR abs/2001.07343 (2020) - Ian Abraham, Ankur Handa, Nathan D. Ratliff, Kendall Lowrey, Todd D. Murphey, Dieter Fox:
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control. CoRR abs/2006.03106 (2020) - Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun:
Information Theoretic Regret Bounds for Online Nonlinear Control. CoRR abs/2006.12466 (2020) - Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa:
Faster Policy Learning with Continuous-Time Gradients. CoRR abs/2012.06684 (2020) - 2019
- Kendall Liu Lowrey:
Intelligent Behavior in Autonomous Agents through Optimization and Learning. University of Washington, USA, 2019 - Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch:
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control. ICLR (Poster) 2019 - 2018
- Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov:
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system. SIMPAR 2018: 35-42 - Kendall Lowrey, Svetoslav Kolev, Jeremy Dao, Aravind Rajeswaran, Emanuel Todorov:
Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system. CoRR abs/1803.10371 (2018) - Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch:
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control. CoRR abs/1811.01848 (2018) - 2017
- Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham M. Kakade:
Towards Generalization and Simplicity in Continuous Control. NIPS 2017: 6550-6561 - Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov, Sham M. Kakade:
Towards Generalization and Simplicity in Continuous Control. CoRR abs/1703.02660 (2017) - 2016
- Kendall Lowrey, Jeremy Dao, Emanuel Todorov:
Real-time state estimation with whole-body multi-contact dynamics: A modified UKF approach. Humanoids 2016: 1225-1232 - 2015
- Igor Mordatch, Kendall Lowrey, Emanuel Todorov:
Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids. IROS 2015: 5307-5314 - Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel Todorov:
Interactive Control of Diverse Complex Characters with Neural Networks. NIPS 2015: 3132-3140 - 2014
- Kendall Lowrey, Svetoslav Kolev, Yuval Tassa, Tom Erez, Emanuel Todorov:
Physically-consistent sensor fusion in contact-rich behaviors. IROS 2014: 1656-1662
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