| 2026 | AAAI | Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning. | Tianyi Hu, Qingxu Fu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu |
| 2025 | AAAI | Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning. | Hao Ma, Shijie Wang, Zhiqiang Pu, Siyao Zhao, Xiaolin Ai |
| 2025 | ECAI | OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning. | Jinyuan Feng, Zhiqiang Pu, Tianyi Hu, Dongmin Li, Xiaolin Ai, Huimu Wang |
| 2025 | EMNLP | CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning. | Jinyuan Feng, Chaopeng Wei, Tenghai Qiu, Tianyi Hu, Zhiqiang Pu |
| 2025 | ICRA | Stochastic Trajectory Prediction Under Unstructured Constraints. | Hao Ma, Zhiqiang Pu, Shijie Wang, Boyin Liu, Huimu Wang, Yanyan Liang, Jianqiang Yi |
| 2025 | IJCNN | Diversity-Driven Offline-to-Online Multi-Player Policy Learning for Football Matches. | Shijie Wang, Zhiqiang Pu, Tianyi Hu, Hao Ma, Huimu Wang, Jianqiang Yi |
| 2025 | IROS | CLGA: A Collaborative LLM Framework for Dynamic Goal Assignment in Multi-Robot Systems. | Xin Yu, Haoyuan Li, Yandong Wang, Simin Li, Rongye Shi, Gangzheng Ai, Zhiqiang Pu, Wenjun Wu |
| 2024 | ICANN | Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. | Qi'ang Cai, Xiaolin Ai, Tianqi Liu, Zhiqiang Pu, Jianqiang Yi, Feng Lv |
| 2024 | IJCNN | Extraction and Transfer of General Deep Feature in Reinforcement Learning. | Min Chen, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Shijie Wang, Boyin Liu |
| 2024 | IJCNN | Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning. | Tianyi Hu, Xiaolin Ai, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi |
| 2024 | SMC | An Affine-Based Maneuver Control Method for Multi-Agent Cooperative Transportation System Over Switching Formations. | Tianqi Liu, Xiaolin Ai, Zhiqiang Pu, Feng Lv |
| 2023 | ICANN | Improving Generalization of Multi-agent Reinforcement Learning Through Domain-Invariant Feature Extraction. | Yifan Xu, Zhiqiang Pu, Qiang Cai, Feimo Li, Xinghua Chai |
| 2023 | ICML | Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning. | Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yanyan Liang, Du Zhang |
| 2023 | IJCNN | All for Goals: a Stylized Automated Analysis Framework in Football Matches. | Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yixiong Cui, Lida Du |
| 2023 | IJCNN | Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. | Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan |
| 2023 | IJCNN | Causal Mean Field Multi-Agent Reinforcement Learning. | Hao Ma, Zhiqiang Pu, Yi Pan, Boyin Liu, Junlong Gao, Zhenyu Guo |
| 2023 | IJCNN | Heterogeneous-graph Attention Reinforcement Learning for Football Matches. | Shijie Wang, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Yanyan Liang, Du Zhang |
| 2023 | IJCNN | Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. | Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan |
| 2023 | IROS | Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning. | Shijie Wang, Yi Pan, Zhiqiang Pu, Boyin Liu, Jianqiang Yi |
| 2022 | AAAI | Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. | Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu |
| 2022 | ICONIP | Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning. | Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi |
| 2022 | ICONIP | Tacit Commitments Emergence in Multi-agent Reinforcement Learning. | Boyin Liu, Zhiqiang Pu, Junlong Gao, Jianqiang Yi, Zhenyu Guo |
| 2022 | IJCNN | A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. | Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan |
| 2022 | IJCNN | Multi-Agent Local Information Reconstruction for Situational Cognition. | Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi |
| 2022 | IJCNN | Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. | Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi |
| 2022 | IROS | Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping. | Tianle Zhang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Jinying Zhu, Ruiguang Hu |
| 2022 | ICRA | Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs. | Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi |
| 2021 | ICONIP | Semantic Perception Swarm Policy with Deep Reinforcement Learning. | Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi |
| 2021 | IJCNN | Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. | Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan |
| 2021 | IROS | Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. | Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi |
| 2021 | ICRA | Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. | Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang |
| 2020 | ICONIP | STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation. | Huimu Wang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi |
| 2020 | ICONIP | Multi-agent Cooperation and Competition with Two-Level Attention Network. | Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang |
| 2020 | IJCNN | Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. | Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi |
| 2019 | IJCNN | Formation Control with Collision Avoidance through Deep Reinforcement Learning. | Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Tianyi Xiong |
| 2019 | IJCNN | Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach. | Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, Zezhi Sui |
| 2018 | IJCNN | Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning. | Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Xiangmin Tan |
| 2018 | IJCNN | Neural Network based Distributed Adaptive Time-varying Formation Control for Multi-UAV Systems with Varying Time Delays. | Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi |