Pengyi Li

According to our database, Pengyi Li authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation.

Yifu Yuan, Haiqin Cui, Yaoting Huang, Yibin Chen, Fei Ni, Zibin Dong, Pengyi Li, Yan Zheng, Jianye Hao

CoRR, August, 2025

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation.

Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, Yan Zheng, Jianye Hao

CoRR, May, 2025

Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning.

Kexing Peng, Pengyi Li, Jianye Hao

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey.

Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DiffuserLite: Towards Real-time Diffusion Planning.

Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Value-Evolutionary-Based Reinforcement Learning.

Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez

Proceedings of the Forty-first International Conference on Machine Learning, 2024

EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search.

Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sample-Efficient Quality-Diversity by Cooperative Coevolution.

Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution.

Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

ERL-Re²: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation.

Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng

CoRR, 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, Zhen Wang

CoRR, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022