LILAC: Learning a Leader for Cooperative Reinforcement Learning. - Yuqian Fu; Jiajun Chai; Yuanheng Zhu; Dongbin Zhao (CoG, 2022)

Learning Continuous 3-DoF Air-to-Air Close-in Combat Strategy using Proximal Policy Optimization. - Luntong Li; Zhiming Zhou; Jiajun Chai; Zhen Liu 020; Yuanheng Zhu; Jianqiang Yi (CoG, 2022)

UNMAS: Multi-Agent Reinforcement Learning for Unshaped Cooperative Scenarios. - Jiajun Chai; Weifan Li; Yuanheng Zhu; Dongbin Zhao; Zhe Ma; Kewu Sun; Jishiyu Ding (CoRR, 2022)

NVIF: Neighboring Variational Information Flow for Large-Scale Cooperative Multi-Agent Scenarios. - Jiajun Chai; Yuanheng Zhu; Dongbin Zhao (CoRR, 2022)

UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios. - Jiajun Chai; Weifan Li; Yuanheng Zhu; Dongbin Zhao; Zhe Ma; Kewu Sun; Jishiyu Ding (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat. - Jiajun Chai; Wenzhang Chen; Yuanheng Zhu; Zong-xin Yao; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination. - Jiajun Chai; Yuqian Fu; Dongbin Zhao; Yuanheng Zhu (AAMAS, 2024)

CPEG: Leveraging Consistency Policy with Consensus Guidance for Multi-agent Exploration. - Yuqian Fu; Yuanheng Zhu; Haoran Li 010; Zijie Zhao; Jiajun Chai; Dongbin Zhao (CoRR, 2024)

NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning. - Jiajun Chai; Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning. - Jiajun Chai; Sicheng Li; Yuqian Fu; Dongbin Zhao; Yuanheng Zhu (ICLR, 2025)

INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning. - Yuqian Fu; Yuanheng Zhu; Jian Zhao; Jiajun Chai; Dongbin Zhao (ICLR, 2025)

Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination. - Shiqing Yao; Jiajun Chai; Haixin Yu; Yongzhe Chang; Yuanheng Zhu; Xueqian Wang (AAMAS, 2025)

LDR: Learning Discrete Representation to Improve Noise Robustness in Multiagent Tasks. - Yuqian Fu; Yuanheng Zhu; Jiajun Chai; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2025)

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs. - Yuqian Fu; Yuanheng Zhu; Jiajun Chai; Guojun Yin; Wei Lin; Qichao Zhang; Dongbin Zhao (CoRR, 2025)

DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy. - Kaixuan Xu; Jiajun Chai; Sicheng Li; Yuqian Fu; Yuanheng Zhu; Dongbin Zhao (CoRR, 2025)

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning. - Yuqian Fu; Tinghong Chen; Jiajun Chai; Xihuai Wang; Songjun Tu; Guojun Yin; Wei Lin; Qichao Zhang; Yuanheng Zhu; Dongbin Zhao (CoRR, 2025)