Published in Preprint: arXiv preprint arXiv:2201.12925, 2022
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Recommended citation: Oswin So, Kyle Stachowicz, Evangelos Theodorou, "Multimodal Maximum Entropy Dynamic Games." Preprint: arXiv preprint arXiv:2201.12925, 2022.
Published in In the proceedings of 2022 International Conference on Robotics and Automation (ICRA), 2022
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Recommended citation: Kyle Stachowicz, Evangelos Theodorou, "Optimal-Horizon Model Predictive Control with Differential Dynamic Programming." In the proceedings of 2022 International Conference on Robotics and Automation (ICRA), 2022.
Published in IEEE Robotics and Automation Letters, 2022
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Recommended citation: Hassan Almubarak, Kyle Stachowicz, Nader Sadegh, Evangelos Theodorou, "Safety Embedded Differential Dynamic Programming Using Discrete Barrier States." IEEE Robotics and Automation Letters, 2022.
Published in To Appear: Conference on Robot Learning 2023, 2023
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Recommended citation: Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine, "FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing." In the proceedings of 2023 Conference on Robot Learning (CoRL), 2023.
Published in To Appear: Conference on Robot Learning 2023, 2023
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Recommended citation: Dhruv Shah, Ajay Sridhar, Nitish Dashora, Kyle Stachowicz, Kevin Black, Noriaki Hirose, Sergey Levine, "ViNT: A Large-Scale, Multi-Task Visual Navigation Backbone with Cross-Robot Generalization." In the proceedings of 2023 Conference on Robot Learning (CoRL), 2023.
Graduate course, UC Berkeley, 2023
In Fall 2023, I was the head GSI for Berkeley’s Deep Reinforcement Learning course.