Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments. - Huimu Wang; Zhiqiang Pu; Jianqiang Yi; Tenghai Qiu; Zhen Liu 020; Zhaoyang Liu (SSCI, 2019)

A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation. - Huimu Wang; Zhiqiang Pu; Zhen Liu 020; Jianqiang Yi; Tenghai Qiu (CASE, 2020)

Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks. - Shiguang Wu 001; Zhiqiang Pu; Jianqiang Yi; Jinlin Sun; Tianyi Xiong; Tenghai Qiu (CASE, 2020)

Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. - Shiguang Wu 001; Zhiqiang Pu; Zhen Liu 020; Tenghai Qiu; Jianqiang Yi; Tianle Zhang (ICRA, 2021)

Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. - Huimu Wang; Tenghai Qiu; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Wanmai Yuan (IJCNN, 2021)

Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. - Shiguang Wu 001; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi (IROS, 2021)

Hierarchical Cooperative Swarm Policy Learning with Role Emergence. - Tianle Zhang; Zhen Liu 020; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi (SSCI, 2021)

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Shiguang Wu 001 (AAAI, 2022)

A Selected Interaction Swarming Algorithm for Connected Dynamic Coverage of Mobile Sensor Networks. - Lexing Wang; Zhiqiang Pu; Tenghai Qiu; Zhen Liu 020; Jianqiang Yi (ACC, 2022)

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Wanmai Yuan (IJCNN, 2022)

Multi-Agent Local Information Reconstruction for Situational Cognition. - Shiguang Wu 001; Zhiqiang Pu; Tianle Zhang; Tenghai Qiu; Jianqiang Yi (IJCNN, 2022)

Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping. - Tianle Zhang; Tenghai Qiu; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Jinying Zhu; Ruiguang Hu (IROS, 2022)

A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks. - Lexing Wang; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Wanmai Yuan (SSCI, 2022)

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai; Wanmai Yuan (CoRR, 2022)

Learning Heterogeneous Agent Cooperation via Multiagent League Training. - Qingxu Fu; Xiaolin Ai; Jianqiang Yi; Tenghai Qiu; Wanmai Yuan; Zhiqiang Pu (CoRR, 2022)

A Knowledge-Based Autonomous Decision-Making Method for Agents in Asymmetric Confrontation. - Lexing Wang; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Jinying Zhu (CASE, 2023)

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Xiaolin Ai; Wanmai Yuan (IJCNN, 2023)

Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed. - Shiguang Wu 001; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi; Tianle Zhang (IEEE Trans. Ind. Informatics, 2023)

A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance. - Zhiqiang Pu; Tianle Zhang; Xiaolin Ai; Tenghai Qiu; Jianqiang Yi (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Measuring Policy Distance for Multi-Agent Reinforcement Learning. - Tianyi Hu; Zhiqiang Pu; Xiaolin Ai; Tenghai Qiu; Jianqiang Yi (AAMAS, 2024)

Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning. - Tianyi Hu; Xiaolin Ai; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi (IJCNN, 2024)

A cooperation and decision-making framework in dynamic confrontation for multi-agent systems. - Lexing Wang; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi (Comput. Electr. Eng., 2024)

Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems. - Qingxu Fu; Zhiqiang Pu; Min Chen; Tenghai Qiu; Jianqiang Yi (CoRR, 2024)

Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction. - Jinyuan Feng; Min Chen; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi (CoRR, 2024)

Fuzzy Feedback Multiagent Reinforcement Learning for Adversarial Dynamic Multiteam Competitions. - Qingxu Fu; Zhiqiang Pu; Yi Pan; Tenghai Qiu; Jianqiang Yi (IEEE Trans. Fuzzy Syst., 2024)

Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning. - Tianyi Hu; Qingxu Fu; Zhiqiang Pu; Yuan Wang; Tenghai Qiu (CoRR, 2025)

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning. - Jinyuan Feng; Chaopeng Wei; Tenghai Qiu; Tianyi Hu; Zhiqiang Pu (CoRR, 2025)

A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai; Wanmai Yuan (IEEE Trans. Neural Networks Learn. Syst., 2025)

Cognition-Oriented Multiagent Reinforcement Learning. - Tenghai Qiu; Shiguang Wu 001; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Yuqian Zhao; Biao Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)