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portfolio
publications
Multimodal Maximum Entropy Dynamic Games
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.
Optimal-Horizon Model Predictive Control with Differential Dynamic Programming
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.
Safety Embedded Differential Dynamic Programming Using Discrete Barrier States
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.
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
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.
ViNT: A Large-Scale, Multi-Task Visual Navigation Backbone with Cross-Robot Generalization
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.
talks
teaching
Deep Reinforcement Learning (CS 285)
Graduate course, UC Berkeley, 2023
In Fall 2023, I was the head GSI for Berkeley’s Deep Reinforcement Learning course.