Model-Based Reinforcement Learning via Latent-Space Collocation O Rybkin*, C Zhu*, A Nagabandi, K Daniilidis, I Mordatch, S Levine International Conference on Machine Learning, 9190-9201, 2021 | 33 | 2021 |
Self-supervised reinforcement learning that transfers using random features B Chen, C Zhu, P Agrawal, K Zhang, A Gupta Advances in Neural Information Processing Systems 36, 2023 | 4 | 2023 |
RePo: Resilient model-based reinforcement learning by regularizing posterior predictability C Zhu, M Simchowitz, S Gadipudi, A Gupta Advances in Neural Information Processing Systems 36, 2023 | 3 | 2023 |
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning Z Zhou, C Zhu, R Zhou, Q Cui, A Gupta, SS Du arXiv preprint arXiv:2310.19308, 2023 | 1 | 2023 |
Transferable Reinforcement Learning via Generalized Occupancy Models C Zhu, X Wang, T Han, SS Du, A Gupta arXiv preprint arXiv:2403.06328, 2024 | | 2024 |
ASID: Active Exploration for System Identification and Reconstruction in Robotic Manipulation M Memmel, A Wagenmaker, C Zhu, D Fox, A Gupta The Twelfth International Conference on Learning Representations, 2023 | | 2023 |