| Hyar: Addressing discrete-continuous action reinforcement learning via hybrid action representation B Li, H Tang, Y Zheng, J Hao, P Li, Z Wang, Z Meng, L Wang ICLR 2022, 2021 | 35 | 2021 |
| PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration P Li, H Tang, T Yang, X Hao, T Sang, Y Zheng, J Hao, ME Taylor, Z Wang ICML 2022, 12979--12997, 2022 | 23 | 2022 |
| ERL-Re : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation P Li, H Tang, J Hao, Y Zheng, X Fu, Z Meng ICLR 2023, 2023 | 16 | 2023 |
| RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution P Li, HAO Jianye, H Tang, Y Zheng, X Fu ICML 2023, 2023 | 8 | 2023 |
| Sample-efficient quality-diversity by cooperative coevolution K Xue, RJ Wang, P Li, D Li, HAO Jianye, C Qian The Twelfth International Conference on Learning Representations, 2023 | 3 | 2023 |
| Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey P Li, J Hao, H Tang, X Fu, Y Zheng, K Tang arXiv preprint arXiv:2401.11963, 2024 | 2 | 2024 |
| ERL-Re : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation HAO Jianye, P Li, H Tang, YAN ZHENG, X Fu, Z Meng The Eleventh International Conference on Learning Representations, 0 | 1* | |
| DiffuserLite: Towards Real-time Diffusion Planning Z Dong, J Hao, Y Yuan, F Ni, Y Wang, P Li, Y Zheng arXiv preprint arXiv:2401.15443, 2024 | | 2024 |
Hongyao TangMila/UdeMVerified email at mila.quebec
