Chenghao Li

According to our database, Chenghao Li authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning.

Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset.

Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Xu Bo

CoRR, February, 2025

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset.

Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Diverse Risk Preferences in Population-Based Self-Play.

Yuhua Jiang, Qihan Liu, Xiaoteng Ma, Chenghao Li, Yiqin Yang, Jun Yang, Bin Liang, Qianchuan Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Never Explore Repeatedly in Multi-Agent Reinforcement Learning.

Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao

CoRR, 2023

Efficient Policy Transfer in Large-Scale Traffic Light Control via Multi-Agent Hierarchical Reinforcement Learning.

Chenghao Li, Hu Yan, Qianchuan Zhao

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Towards Global Optimality in Cooperative MARL with Sequential Transformation.

Jianing Ye, Chenghao Li, Jianhao Wang, Chongjie Zhang

CoRR, 2022

2021

Learning to Discover Task-Relevant Features for Interpretable Reinforcement Learning.

Qiyuan Zhang, Xiaoteng Ma, Yiqin Yang, Chenghao Li, Jun Yang, Yu Liu, Bin Liang

IEEE Robotics Autom. Lett., 2021

Containerized Distributed Value-Based Multi-Agent Reinforcement Learning.

Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang

CoRR, 2021

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.

Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Yang Jun

CoRR, 2021

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning.

Yiqin Yang, Xiaoteng Ma, Chenghao Li, Zewu Zheng, Qiyuan Zhang, Gao Huang, Jun Yang, Qianchuan Zhao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning.

Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning.

Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Jun Yang

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

SOAC: The Soft Option Actor-Critic Architecture.

Chenghao Li, Xiaoteng Ma, Chongjie Zhang, Jun Yang, Li Xia, Qianchuan Zhao

CoRR, 2020

Fairness Control of Traffic Light via Deep Reinforcement Learning.

Chenghao Li, Xiaoteng Ma, Li Xia, Qianchuan Zhao, Jun Yang

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

A Multi-Stage Dispatching and Scheduling Algorithm for Individualized Public Transportation System.

Zhenming Yang, Xuetao Wang, Chenghao Li, Qianchuan Zhao

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019