Optimal-Horizon Model Predictive Control with Differential Dynamic Programming. - Kyle Stachowicz; Evangelos A. Theodorou (ICRA, 2022)

Multimodal Maximum Entropy Dynamic Games. - Oswin So; Kyle Stachowicz; Evangelos A. Theodorou (CoRR, 2022)

Safety Embedded Differential Dynamic Programming Using Discrete Barrier States. - Hassan Almubarak; Kyle Stachowicz; Nader Sadegh; Evangelos A. Theodorou (IEEE Robotics Autom. Lett., 2022)

ViNT: A Foundation Model for Visual Navigation. - Dhruv Shah; Ajay Sridhar; Nitish Dashora; Kyle Stachowicz; Kevin Black; Noriaki Hirose; Sergey Levine (CoRL, 2023)

FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. - Kyle Stachowicz; Dhruv Shah; Arjun Bhorkar; Ilya Kostrikov; Sergey Levine (CoRL, 2023)

Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data. - Alejandro Escontrela; Justin Kerr; Kyle Stachowicz; Pieter Abbeel (CoRL, 2024)

SELFI: Autonomous Self-Improvement with RL for Vision-Based Navigation around People. - Noriaki Hirose; Dhruv Shah; Kyle Stachowicz; Ajay Sridhar; Sergey Levine (CoRL, 2024)

Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild. - Kyle Stachowicz; Lydia Ignatova; Sergey Levine (CoRL, 2024)

RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes. - Kyle Stachowicz; Sergey Levine (Robotics: Science and Systems, 2024)

SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation. - Noriaki Hirose; Dhruv Shah; Kyle Stachowicz; Ajay Sridhar; Sergey Levine (CoRR, 2024)

Traversability-Aware Legged Navigation by Learning from Real-World Visual Data. - Hongbo Zhang; Zhongyu Li 003; Xuanqi Zeng; Laura M. Smith; Kyle Stachowicz; Dhruv Shah; Linzhu Yue; Zhitao Song; Weipeng Xia; Sergey Levine; Koushil Sreenath; Yun-hui Liu (CoRR, 2024)

Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding. - Joshua Jones; Oier Mees; Carmelo Sferrazza; Kyle Stachowicz; Pieter Abbeel; Sergey Levine (CoRR, 2025)

FAST: Efficient Action Tokenization for Vision-Language-Action Models. - Karl Pertsch; Kyle Stachowicz; Brian Ichter; Danny Driess; Suraj Nair 003; Quan Vuong; Oier Mees; Chelsea Finn; Sergey Levine (CoRR, 2025)

π0.5: a Vision-Language-Action Model with Open-World Generalization. - Physical Intelligence; Kevin Black; Noah Brown; James Darpinian; Karan Dhabalia; Danny Driess; Adnan Esmail; Michael Equi; Chelsea Finn; Niccolo Fusai; Manuel Y. Galliker; Dibya Ghosh; et al. (CoRR, 2025)

Learning to Drive Anywhere with Model-Based Reannotation. - Noriaki Hirose; Lydia Ignatova; Kyle Stachowicz; Catherine Glossop; Sergey Levine; Dhruv Shah (CoRR, 2025)