I am a second-year PhD student at Deep Reinforcement Learning (DRL) Lab, Tianjin University (TJU), advised by Prof. Jianye Hao. I received my Bachelor's degree from the TianJin University too.
Research interest
I focus on research on the Reinforcement Learning and Evolutionary Algorithms, which include Multi-agent Reinforcement Learning, Multi-objective Reinforcement Learning, Multi-task Reinforcement Learning, and Evolutionary Reinforcement Learning. Recently, my emphasis has been on how to build better policy search algorithms and general policy.
Publications and preprints
Papers sorted by recency. Representative papers are highlighted.
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
Arxiv Preprint(Arxiv), 2024
ArXiv / Code / Bibtex
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
Arxiv Preprint(Arxiv), 2024
ArXiv / Code / Bibtex
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
Pengyi Li, Jianye HAO, Hongyao Tang, Xian Fu, Yan Zheng
International Conference on Machine Learning (ICML), 2024
Link / Code / Bibtex
Pengyi Li, Jianye HAO, Hongyao Tang, Xian Fu, Yan Zheng
International Conference on Machine Learning (ICML), 2024
Link / Code / Bibtex
Value-Evolutionary-Based Reinforcement Learning
Pengyi Li, Jianye HAO, Hongyao Tang, Yan Zheng, Fazl Barez
International Conference on Machine Learning (ICML), 2024
Link / Code / Bibtex
Pengyi Li, Jianye HAO, Hongyao Tang, Yan Zheng, Fazl Barez
International Conference on Machine Learning (ICML), 2024
Link / Code / Bibtex
DiffuserLite: Towards Real-time Diffusion Planning
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
Arxiv Preprint(Arxiv), 2024
ArXiv / Bibtex
Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
Arxiv Preprint(Arxiv), 2024
ArXiv / Bibtex
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey
Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
Arxiv Preprint(Arxiv), 2024
Github Repository / ArXiv / Bibtex
Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang
Arxiv Preprint(Arxiv), 2024
Github Repository / ArXiv / Bibtex
Sample-Efficient Quality-Diversity by Cooperative Coevolution
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye HAO, Chao Qian
International Conference on Learning Representations (ICLR), 2024
OpenReview / Code / Bibtex
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye HAO, Chao Qian
International Conference on Learning Representations (ICLR), 2024
OpenReview / Code / Bibtex
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu
International Conference on Machine Learning (ICML), 2023
Link / Code / Bibtex
Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu
International Conference on Machine Learning (ICML), 2023
Link / Code / Bibtex
ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
Jianye Hao, Pengyi Li (Student First Author), Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng
International Conference on Learning Representations (ICLR), 2023
ArXiv / Code / Bibtex
Jianye Hao, Pengyi Li (Student First Author), Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng
International Conference on Learning Representations (ICLR), 2023
ArXiv / Code / Bibtex
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
International Conference on Machine Learning (ICML), 2022
Link / Code / Bibtex
Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang
International Conference on Machine Learning (ICML), 2022
Link / Code / Bibtex
Hyar: Addressing discrete-continuous action reinforcement learning via hybrid action representation
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
International Conference on Learning Representations (ICLR), 2022
ArXiv / Bibtex
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
International Conference on Learning Representations (ICLR), 2022
ArXiv / Bibtex