| 2026 | WACV | MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding. | Pengyi Li, Irina Abdullaeva, Alexander Gambashidze, Andrey Kuznetsov, Ivan V. Oseledets |
| 2025 | ICML | R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models. | Pengyi Li, Jianye Hao, Hongyao Tang, Yifu Yuan, Jinbin Qiao, Zibin Dong, Yan Zheng |
| 2024 | ICLR | Sample-Efficient Quality-Diversity by Cooperative Coevolution. | Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian |
| 2024 | ICML | EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. | Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao |
| 2024 | ICML | Value-Evolutionary-Based Reinforcement Learning. | Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez |
| 2023 | ICLR | ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. | Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng |
| 2023 | ICML | RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. | Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu |
| 2022 | ICLR | 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 |
| 2022 | ICML | 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 |
| 2017 | SEKE | Towards Code Generation from Design Models. | Pengyi Li, Jing Sun, Hai Wang |