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2020 – today
- 2024
[c8]Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian:
Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR 2024- [c7]Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao:
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. ICML 2024 - [c6]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez:
Value-Evolutionary-Based Reinforcement Learning. ICML 2024 - [i7]Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang:
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR abs/2401.11963 (2024) - [i6]Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng:
DiffuserLite: Towards Real-time Diffusion Planning. CoRR abs/2401.15443 (2024) - [i5]Ovanes L. Petrosian, Pengyi Li, Yulong He, Jiarui Liu, Zhaoruikun Sun, Guofeng Fu, Liping Meng:
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning. CoRR abs/2406.06653 (2024) - [i4]Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng:
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making. CoRR abs/2406.09509 (2024) - 2023
- [c5]Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng:
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. ICLR 2023 - [c4]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu:
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. ICML 2023: 19490-19503 - 2022
- [c3]Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang:
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. ICLR 2022 - [c2]Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang:
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML 2022: 12979-12997 - [i3]Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang:
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR abs/2203.08553 (2022) - [i2]Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng:
ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. CoRR abs/2210.17375 (2022) - 2021
- [i1]Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang:
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. CoRR abs/2109.05490 (2021)
2010 – 2019
- 2017
- [j2]Pengyi Li, Jing Sun, Hai Wang
:
Formal Approach to Assertion-Based Code Generation. Int. J. Softw. Eng. Knowl. Eng. 27(9-10): 1637- (2017) - [c1]Pengyi Li, Jing Sun, Hai Wang:
Towards Code Generation from Design Models. SEKE 2017: 242-247 - 2016
- [j1]Candice Eckert, Brian Cham, Pengyi Li, Jing Sun, Gillian Dobbie:
Linking Design Model with Code. Int. J. Softw. Eng. Knowl. Eng. 26(9-10): 1473-1492 (2016)
Coauthor Index
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