A Multi-Stage Dispatching and Scheduling Algorithm for Individualized Public Transportation System. - Zhenming Yang; Xuetao Wang; Chenghao Li 002; Qianchuan Zhao (CASE, 2019)

Fairness Control of Traffic Light via Deep Reinforcement Learning. - Chenghao Li 002; Xiaoteng Ma; Li Xia; Qianchuan Zhao; Jun Yang 028 (CASE, 2020)

SOAC: The Soft Option Actor-Critic Architecture. - Chenghao Li 002; Xiaoteng Ma; Chongjie Zhang; Jun Yang 028; Li Xia; Qianchuan Zhao (CoRR, 2020)

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning. - Xiaoteng Ma; Yiqin Yang; Chenghao Li 002; Yiwen Lu; Qianchuan Zhao; Jun Yang 028 (AAMAS, 2021)

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. - Chenghao Li 002; Tonghan Wang 001; Chengjie Wu; Qianchuan Zhao; Jun Yang 028; Chongjie Zhang (NeurIPS, 2021)

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning. - Yiqin Yang; Xiaoteng Ma; Chenghao Li 002; Zewu Zheng; Qiyuan Zhang; Gao Huang 001; Jun Yang 028; Qianchuan Zhao (NeurIPS, 2021)

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning. - Xiaoteng Ma; Yiqin Yang; Chenghao Li 002; Yiwen Lu; Qianchuan Zhao; Yang Jun (CoRR, 2021)

Containerized Distributed Value-Based Multi-Agent Reinforcement Learning. - Siyang Wu; Tonghan Wang 001; Chenghao Li 002; Chongjie Zhang (CoRR, 2021)

Learning to Discover Task-Relevant Features for Interpretable Reinforcement Learning. - Qiyuan Zhang; Xiaoteng Ma; Yiqin Yang; Chenghao Li 002; Jun Yang 028; Yu Liu 036; Bin Liang 001 (IEEE Robotics Autom. Lett., 2021)

Towards Global Optimality in Cooperative MARL with Sequential Transformation. - Jianing Ye; Chenghao Li 002; Jianhao Wang; Chongjie Zhang (CoRR, 2022)

Efficient Policy Transfer in Large-Scale Traffic Light Control via Multi-Agent Hierarchical Reinforcement Learning. - Chenghao Li 002; Hu Yan; Qianchuan Zhao (CASE, 2023)

Never Explore Repeatedly in Multi-Agent Reinforcement Learning. - Chenghao Li 002; Tonghan Wang 001; Chongjie Zhang; Qianchuan Zhao (CoRR, 2023)

Learning Diverse Risk Preferences in Population-Based Self-Play. - Yuhua Jiang; Qihan Liu; Xiaoteng Ma; Chenghao Li 002; Yiqin Yang; Jun Yang 028; Bin Liang 001; Qianchuan Zhao (AAAI, 2024)

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. - Yiqin Yang; Quanwei Wang; Chenghao Li 002; Hao Hu 006; Chengjie Wu; Yuhua Jiang; Dianyu Zhong; Ziyou Zhang; Qianchuan Zhao; Chongjie Zhang; Bo Xu 002 (ICLR, 2025)

Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. - Yiqin Yang; Quanwei Wang; Chenghao Li 002; Hao Hu 006; Chengjie Wu; Yuhua Jiang; Dianyu Zhong; Ziyou Zhang; Qianchuan Zhao; Chongjie Zhang; Xu Bo (CoRR, 2025)

Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning. - Chenghao Li 002; Tonghan Wang 001; Chengjie Wu; Qianchuan Zhao; Jun Yang 028; Chongjie Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)