| Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor T Haarnoja, A Zhou, P Abbeel, S Levine International conference on machine learning, 1861-1870, 2018 | 3357 | 2018 |
| Soft actor-critic algorithms and applications T Haarnoja, A Zhou, K Hartikainen, G Tucker, S Ha, J Tan, V Kumar, ... arXiv preprint arXiv:1812.05905, 2018 | 951 | 2018 |
| Conservative q-learning for offline reinforcement learning A Kumar, A Zhou, G Tucker, S Levine Advances in Neural Information Processing Systems 33, 1179-1191, 2020 | 358 | 2020 |
| Efficient off-policy meta-reinforcement learning via probabilistic context variables K Rakelly, A Zhou, C Finn, S Levine, D Quillen International conference on machine learning, 5331-5340, 2019 | 327 | 2019 |
| Learning to walk via deep reinforcement learning T Haarnoja, S Ha, A Zhou, J Tan, G Tucker, S Levine arXiv preprint arXiv:1812.11103, 2018 | 257 | 2018 |
| Composable deep reinforcement learning for robotic manipulation T Haarnoja, V Pong, A Zhou, M Dalal, P Abbeel, S Levine 2018 IEEE international conference on robotics and automation (ICRA), 6244-6251, 2018 | 165 | 2018 |
| MURAL: Meta-learning uncertainty-aware rewards for outcome-driven reinforcement learning K Li, A Gupta, A Reddy, VH Pong, A Zhou, J Yu, S Levine International Conference on Machine Learning, 6346-6356, 2021 | 6* | 2021 |
| Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation A Zhou, S Levine International Conference on Machine Learning, 12803-12812, 2021 | 4 | 2021 |
| Amortized conditional normalized maximum likelihood A Zhou, S Levine | 4 | 2020 |
| Bayesian Adaptation for Covariate Shift A Zhou, S Levine Advances in Neural Information Processing Systems 34, 914-927, 2021 | 3 | 2021 |
| Training on test data with bayesian adaptation for covariate shift A Zhou, S Levine arXiv preprint arXiv:2109.12746, 2021 | 2 | 2021 |
