Pengyi Li

According to our database, Pengyi Li authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

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

CoRR, 2024

DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning.

Ovanes Petrosian, Pengyi Li, Yulong He, Jiarui Liu, Zhaoruikun Sun, Guofeng Fu, Liping Meng

CoRR, 2024

DiffuserLite: Towards Real-time Diffusion Planning.

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

CoRR, 2024

Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey.

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

CoRR, 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

2017

Formal Approach to Assertion-Based Code Generation.

Pengyi Li, Jing Sun, Hai Wang

Int. J. Softw. Eng. Knowl. Eng., 2017

Towards Code Generation from Design Models.

Pengyi Li, Jing Sun, Hai Wang

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

2016

Linking Design Model with Code.

Candice Eckert, Brian Cham, Pengyi Li, Jing Sun, Gillian Dobbie

Int. J. Softw. Eng. Knowl. Eng., 2016