| Tianshou: A highly modularized deep reinforcement learning library J Weng*, H Chen*, D Yan, K You, A Duburcq, M Zhang, H Su, J Zhu Journal of Machine Learning Research 23 (267), 2022 | 179 | 2022 |
| Offline reinforcement learning via high-fidelity generative behavior modeling H Chen, C Lu, C Ying, H Su, J Zhu The Eleventh International Conference on Learning Representations (ICLR), 2022 | 69 | 2022 |
| Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning C Lu*, H Chen*, J Chen, H Su, C Li, J Zhu International Conference on Machine Learning (ICML), 2023 | 34 | 2023 |
| Noise contrastive alignment of language models with explicit rewards H Chen, G He, H Su, J Zhu arXiv preprint arXiv:2402.05369, 2024 | 8 | 2024 |
| Score Regularized Policy Optimization through Diffusion Behavior H Chen, C Lu, Z Wang, H Su, J Zhu The Twelfth International Conference on Learning Representations (ICLR), 2023 | 6 | 2023 |
| Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control H Chen, K Zheng, H Su, J Zhu arXiv preprint arXiv:2407.09024, 2024 | | 2024 |
| C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory T Luo, T Pearce, H Chen, J Chen, J Zhu arXiv preprint arXiv:2402.16349, 2024 | | 2024 |
| Converging and Stabilizing Generative Adversarial Imitation Learning T Luo, J Chen, H Chen, J Zhu | | |
Hang SuAssociated Professor, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
