Research output

Publications

14 works in total.

Preprints (2)

OpenGuanDan: A Large-Scale Imperfect Information Game Benchmark [arXiv]

C. Li, S. Yang, C. Zhan, Z. Ge, Y. Hu, B. Bao, X. Chen, Y. Gao

arXiv preprint arXiv:2602.00676, 2026.

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning Is a Context Modeling Problem [arXiv]

C. Li, B. Bao, Y. Gao

arXiv preprint arXiv:2509.15519, 2025.

Conference (7)

In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning [Scholar]

C. Li, B. Bao, Y. Gao

Advances in Neural Information Processing Systems 38, 147796–147818, 2026.

Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games [Scholar]

S. Dong, C. Li, S. Yang, H. Cao, W. Yang, Y. Gao

Proceedings of the AAAI Conference on Artificial Intelligence 39(15), 2025.

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning [Scholar]

C. Li, Y. Zhang, J. Wang, Y. Hu, S. Dong, W. Li, T. Lv, C. Fan, Y. Gao

Proceedings of the AAAI Conference on Artificial Intelligence 38(16), 17453–17461, 2024.

STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations [Scholar]

C. Li, Y. Hu, S. Yang, T. Lv, C. Fan, W. Li, C. Zhang, Y. Gao

Proceedings of the International Joint Conference on Artificial Intelligence, 120–128, 2024.

Multi-Agent Exploration via Self-Learning and Social Learning [Scholar]

S. Dong, C. Li, W. Chen, H. Cao, W. Li, Y. Gao

IEEE International Conference on Acoustics, Speech and Signal Processing, 2024.

Multi-Agent Sparse Interaction Modeling Is an Anomaly Detection Problem [Scholar, Code]

C. Li, S. Dong, S. Yang, H. Cao, W. Li, Y. Gao

IEEE International Conference on Acoustics, Speech and Signal Processing, 2024.

DDMA: Discrepancy-Driven Multi-Agent Reinforcement Learning [Scholar, Code]

C. Li, Y. Hu, P. Tian, S. Dong, Y. Gao

Pacific Rim International Conference on Artificial Intelligence, 91–105, 2022.

Journal (5)

Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints [Scholar, Code]

C. Li, S. Dong, S. Yang, Y. Hu, W. Li, Y. Gao

Neural Networks 182, 106858, 2025.

A Unified and Efficient Training Framework for Open-Ended Non-Transitive Games [Scholar]

S. Dong, C. Li, S. Yang, H. Cao, W. Yang, Y. Gao

Neural Networks, 108248, 2025.

Multi-Task Multi-Agent Reinforcement Learning with Interaction and Task Representations [Scholar, Code]

C. Li, S. Dong, S. Yang, Y. Hu, T. Ding, W. Li, Y. Gao

IEEE Transactions on Neural Networks and Learning Systems 36(7), 13431–13445, 2024.

Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in Mixed Cooperative and Competitive Environments [Scholar]

S. Dong, C. Li, S. Yang, W. Li, Y. Gao

Expert Systems with Applications 257, 125116, 2024.

Egoism, Utilitarianism and Egalitarianism in Multi-Agent Reinforcement Learning [Scholar]

S. Dong, C. Li, S. Yang, B. An, W. Li, Y. Gao

Neural Networks 178, 106544, 2024.

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