MAX SIMCHOWITZ
University of California, Berkeley
H-index: 26
North America-United States
Top articles of MAX SIMCHOWITZ
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Provable guarantees for generative behavior cloning: Bridging low-level stability and high-level behavior | Advances in Neural Information Processing Systems | Adam Block Ali Jadbabaie Daniel Pfrommer Max Simchowitz Russ Tedrake | 2024/2/13 |
Repo: Resilient model-based reinforcement learning by regularizing posterior predictability | Advances in Neural Information Processing Systems | Chuning Zhu Max Simchowitz Siri Gadipudi Abhishek Gupta | 2024/2/13 |
Smoothed online learning for prediction in piecewise affine systems | Advances in Neural Information Processing Systems | Adam Block Max Simchowitz Russ Tedrake | 2024/2/13 |
Butterfly effects of sgd noise: Error amplification in behavior cloning and autoregression | arXiv preprint arXiv:2310.11428 | Adam Block Dylan J Foster Akshay Krishnamurthy Max Simchowitz Cyril Zhang | 2023/10/17 |
Tackling combinatorial distribution shift: A matrix completion perspective | Max Simchowitz Abhishek Gupta Kaiqing Zhang | 2023/7/12 | |
Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets | arXiv preprint arXiv:2305.06341 | Thomas Cohn Mark Petersen Max Simchowitz Russ Tedrake | 2023/5/10 |
Fleet policy learning via weight merging and an application to robotic tool-use | Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake | 2024 | |
Learning to extrapolate: A transductive approach | Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaiqing Zhang Pulkit Agrawal | 2023 | |
Oracle-efficient smoothed online learning for piecewise continuous decision making | Adam Block Max Simchowitz Alexander Rakhlin | 2023/7/12 | |
Constrained Bimanual Planning with Analytic Inverse Kinematics | arXiv preprint arXiv:2309.08770 | Thomas Cohn Seiji Shaw Max Simchowitz Russ Tedrake | 2023/9/15 |
On the Imitation of Non-Markovian Demonstrations: From Low-Level Stability to High-Level Planning | Adam Block Daniel Pfrommer Max Simchowitz | 2023/7/9 | |
Exploration and incentives in reinforcement learning | Operations Research | Max Simchowitz Aleksandrs Slivkins | 2023/8/18 |
The power of learned locally linear models for nonlinear policy optimization | Daniel Pfrommer Max Simchowitz Tyler Westenbroek Nikolai Matni Stephen Tu | 2023/7/3 | |
Imitating complex trajectories: Bridging low-level stability and high-level behavior | arXiv preprint arXiv:2307.14619 | Adam Block Daniel Pfrommer Max Simchowitz | 2023/7/27 |
Statistical learning under heterogenous distribution shift | Max Simchowitz Anurag Ajay Pulkit Agrawal Akshay Krishnamurthy | 2023/7/3 | |
Reward-free rl is no harder than reward-aware rl in linear markov decision processes | Andrew J Wagenmaker Yifang Chen Max Simchowitz Simon Du Kevin Jamieson | 2022/6/28 | |
First-order regret in reinforcement learning with linear function approximation: A robust estimation approach | Andrew J Wagenmaker Yifang Chen Max Simchowitz Simon Du Kevin Jamieson | 2022/6/28 | |
Globally convergent policy search for output estimation | Jack Umenberger Max Simchowitz Juan Carlos Perdomo Kaiqing Zhang Russ Tedrake | 2022 | |
Beyond no regret: Instance-dependent pac reinforcement learning | Andrew J Wagenmaker Max Simchowitz Kevin Jamieson | 2022/6/28 | |
Pathologies and challenges of using differentiable simulators in policy optimization for contact-rich manipulation | HJ Terry Suh Max Simchowitz Kaiqing Zhang Tao Pang Russ Tedrake | 2022/5/2 |
Co-Authors
