Li, Pengyi

16 publications

NeurIPS 2025 COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space Pengyi Li, Hongyao Tang, Yifu Yuan, Jianye Hao, Zibin Dong, Yan Zheng

NeurIPS 2025 CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning Pengyi Li, Shixiong Kai, Jianye Hao, Ruizhe Zhong, Hongyao Tang, Zhentao Tang, Mingxuan Yuan, Junchi Yan

NeurIPS 2025 LaRes: Evolutionary Reinforcement Learning with LLM-Based Adaptive Reward Search Pengyi Li, Hongyao Tang, Jinbin Qiao, Yan Zheng, Jianye Hao

ICML 2025 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

NeurIPS 2024 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

NeurIPS 2024 DiffuserLite: Towards Real-Time Diffusion Planning Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng

ICML 2024 EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao

ICLR 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian

ICML 2024 Value-Evolutionary-Based Reinforcement Learning Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez

ICLR 2023 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

ICML 2023 RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu

NeurIPSW 2022 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng

ICLR 2022 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

ICML 2022 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

NeurIPSW 2021 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

NeurIPSW 2021 OVD-Explorer: A General Information-Theoretic Exploration Approach for Reinforcement Learning Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Junjie Ye, Chenjia Bai, Pengyi Li