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Journal Articles
- 2024
[j4]Lexing Wang
, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi:
A cooperation and decision-making framework in dynamic confrontation for multi-agent systems. Comput. Electr. Eng. 118: 109300 (2024)- [j3]Qingxu Fu, Zhiqiang Pu, Yi Pan, Tenghai Qiu, Jianqiang Yi:
Fuzzy Feedback Multiagent Reinforcement Learning for Adversarial Dynamic Multiteam Competitions. IEEE Trans. Fuzzy Syst. 32(5): 2811-2824 (2024) - 2023
- [j2]Shiguang Wu, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang:
Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed. IEEE Trans. Ind. Informatics 19(1): 121-132 (2023) - [j1]Zhiqiang Pu, Tianle Zhang, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi:
A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4189-4204 (2023)
Conference and Workshop Papers
- 2024
- [c17]Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi:
Measuring Policy Distance for Multi-Agent Reinforcement Learning. AAMAS 2024: 834-842 - [c16]Tianyi Hu, Xiaolin Ai, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi:
Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning. IJCNN 2024: 1-9 - 2023
- [c15]Lexing Wang, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Jinying Zhu:
A Knowledge-Based Autonomous Decision-Making Method for Agents in Asymmetric Confrontation. CASE 2023: 1-6 - [c14]Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan:
Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. IJCNN 2023: 1-7 - 2022
- [c13]Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu:
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. AAAI 2022: 9341-9349 - [c12]Lexing Wang, Zhiqiang Pu, Tenghai Qiu, Zhen Liu, Jianqiang Yi:
A Selected Interaction Swarming Algorithm for Connected Dynamic Coverage of Mobile Sensor Networks. ACC 2022: 4465-4470 - [c11]Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. IJCNN 2022: 1-8 - [c10]Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi:
Multi-Agent Local Information Reconstruction for Situational Cognition. IJCNN 2022: 1-7 - [c9]Tianle Zhang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Jinying Zhu, Ruiguang Hu:
Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping. IROS 2022: 13737-13744 - [c8]Lexing Wang, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks. SSCI 2022: 308-314 - 2021
- [c7]Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang:
Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. ICRA 2021: 8772-8778 - [c6]Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation. IJCNN 2021: 1-7 - [c5]Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi:
Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. IROS 2021: 5596-5602 - [c4]Tianle Zhang, Zhen Liu, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi:
Hierarchical Cooperative Swarm Policy Learning with Role Emergence. SSCI 2021: 1-8 - 2020
- [c3]Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Jinlin Sun, Tianyi Xiong, Tenghai Qiu:
Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks. CASE 2020: 1090-1095 - [c2]Huimu Wang, Zhiqiang Pu, Zhen Liu, Jianqiang Yi, Tenghai Qiu:
A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation. CASE 2020: 1257-1262 - 2019
- [c1]Huimu Wang, Zhiqiang Pu, Jianqiang Yi, Tenghai Qiu, Zhen Liu, Zhaoyang Liu:
Time-sequence Action-Decision and Navigation Through Stage Deep Reinforcement Learning in Complex Dynamic Environments. SSCI 2019: 22-30
Informal and Other Publications
- 2024
- [i8]Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi:
Measuring Policy Distance for Multi-Agent Reinforcement Learning. CoRR abs/2401.11257 (2024) - [i7]Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai:
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph. CoRR abs/2403.18056 (2024) - [i6]Qingxu Fu, Zhiqiang Pu, Min Chen, Tenghai Qiu, Jianqiang Yi:
Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems. CoRR abs/2403.18057 (2024) - [i5]Jinyuan Feng, Min Chen, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi:
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction. CoRR abs/2404.05950 (2024) - 2022
- [i4]Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu:
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. CoRR abs/2203.06416 (2022) - [i3]Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. CoRR abs/2208.03002 (2022) - [i2]Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai Yuan:
Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach. CoRR abs/2208.07753 (2022) - [i1]Qingxu Fu, Xiaolin Ai, Jianqiang Yi, Tenghai Qiu, Wanmai Yuan, Zhiqiang Pu:
Learning Heterogeneous Agent Cooperation via Multiagent League Training. CoRR abs/2211.11616 (2022)
Coauthor Index
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