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2020 – today
- 2024
[j29]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)- [j28]Zhiqiang Pu, Yi Pan, Shijie Wang, Boyin Liu, Min Chen, Hao Ma, Yixiong Cui:
Orientation and Decision-Making for Soccer Based on Sports Analytics and AI: A Systematic Review. IEEE CAA J. Autom. Sinica 11(1): 37-57 (2024) - [j27]Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Min Chen, Shijie Wang:
QFuture: Learning Future Expectation Cognition in Multiagent Reinforcement Learning. IEEE Trans. Cogn. Dev. Syst. 16(4): 1302-1314 (2024) - [j26]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) - [j25]Tianle Zhang, Zhen Liu, Jianqiang Yi, Shiguang Wu, Zhiqiang Pu, Yanjie Zhao:
Multiexperience-Assisted Efficient Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12678-12692 (2024) - [c47]Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi:
Measuring Policy Distance for Multi-Agent Reinforcement Learning. AAMAS 2024: 834-842 - [c46]Qi'ang Cai, Xiaolin Ai, Tianqi Liu, Zhiqiang Pu, Jianqiang Yi, Feng Lv:
Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. ICANN (4) 2024: 276-290 - [c45]Min Chen, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Shijie Wang, Boyin Liu:
Extraction and Transfer of General Deep Feature in Reinforcement Learning. IJCNN 2024: 1-8 - [c44]Tianyi Hu, Xiaolin Ai, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi:
Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning. IJCNN 2024: 1-9 - [i10]Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi:
Measuring Policy Distance for Multi-Agent Reinforcement Learning. CoRR abs/2401.11257 (2024) - [i9]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) - [i8]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) - [i7]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) - [i6]Hao Ma, Tianyi Hu, Zhiqiang Pu, Boyin Liu, Xiaolin Ai, Yanyan Liang, Min Chen:
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2410.06101 (2024) - 2023
- [j24]Jinlin Sun, Zhiqiang Pu, Yafei Chang, Shihong Ding, Jianqiang Yi:
Appointed-Time Control for Flexible Hypersonic Vehicles with Conditional Disturbance Negation. IEEE Trans. Aerosp. Electron. Syst. 59(5): 6327-6345 (2023) - [j23]Lihui Ding, Jinlin Sun, Shihong Ding, Zhiqiang Pu, Jianqiang Yi:
Adaptive Fuzzy Appointed-Time Control for Uncertain Systems Bounded by Positive Functions. IEEE Trans. Circuits Syst. II Express Briefs 70(4): 1540-1544 (2023) - [j22]Zhiqiang Pu, Huimu Wang, Boyin Liu, Jianqiang Yi:
Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation. IEEE Trans. Games 15(3): 388-398 (2023) - [j21]Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
Peer Incentive Reinforcement Learning for Cooperative Multiagent Games. IEEE Trans. Games 15(4): 623-636 (2023) - [j20]Boyin Liu, Zhiqiang Pu, Tianle Zhang, Huimu Wang, Jianqiang Yi, Jiachen Mi:
Learning to Play Football From Sports Domain Perspective: A Knowledge-Embedded Deep Reinforcement Learning Framework. IEEE Trans. Games 15(4): 648-657 (2023) - [j19]Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 912-930 (2023) - [j18]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) - [j17]Zhiqiang Pu, Huimu Wang, Zhen Liu, Jianqiang Yi, Shiguang Wu:
Attention Enhanced Reinforcement Learning for Multi agent Cooperation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8235-8249 (2023) - [j16]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) - [c43]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 - [c42]Yifan Xu, Zhiqiang Pu, Qiang Cai, Feimo Li, Xinghua Chai:
Improving Generalization of Multi-agent Reinforcement Learning Through Domain-Invariant Feature Extraction. ICANN (6) 2023: 49-62 - [c41]Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yanyan Liang, Du Zhang:
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning. ICML 2023: 21937-21950 - [c40]Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yixiong Cui, Lida Du:
All for Goals: a Stylized Automated Analysis Framework in Football Matches. IJCNN 2023: 1-8 - [c39]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 - [c38]Hao Ma, Zhiqiang Pu, Yi Pan, Boyin Liu, Junlong Gao, Zhenyu Guo:
Causal Mean Field Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [c37]Shiiie Wang, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Yanyan Liang, Du Zhang:
Heterogeneous-graph Attention Reinforcement Learning for Football Matches. IJCNN 2023: 1-7 - [c36]Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan:
Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. IJCNN 2023: 1-8 - [c35]Shijie Wang, Yi Pan, Zhiqiang Pu, Boyin Liu, Jianqiang Yi:
Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning. IROS 2023: 8054-8061 - 2022
- [j15]Jinlin Sun, Haibo He, Jianqiang Yi, Zhiqiang Pu:
Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems. IEEE Trans. Cybern. 52(7): 6809-6821 (2022) - [j14]Jinlin Sun, Jianqiang Yi, Zhiqiang Pu:
Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems With Time-Varying Constraints and Input Saturations. IEEE Trans. Fuzzy Syst. 30(4): 1114-1128 (2022) - [c34]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 - [c33]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 - [c32]Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi:
Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning. ICONIP (4) 2022: 3-14 - [c31]Boyin Liu, Zhiqiang Pu, Junlong Gao, Jianqiang Yi, Zhenyu Guo:
Tacit Commitments Emergence in Multi-agent Reinforcement Learning. ICONIP (1) 2022: 27-36 - [c30]Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs. ICRA 2022: 8794-8800 - [c29]Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. IJCNN 2022: 1-8 - [c28]Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi:
Multi-Agent Local Information Reconstruction for Situational Cognition. IJCNN 2022: 1-7 - [c27]Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi:
Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. IJCNN 2022: 1-7 - [c26]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 - [c25]Lexing Wang, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks. SSCI 2022: 308-314 - [i5]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) - [i4]Yuesen Li, Shouxin Zong, Yanfei Shen, Zhiqiang Pu, Miguel Ángel Gómez, Yixiong Cui:
Characterizing player's playing styles based on Player Vectors for each playing position in the Chinese Football Super League. CoRR abs/2205.02731 (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) - 2021
- [j13]Huimu Wang, Zhen Liu, Jianqiang Yi, Zhiqiang Pu:
Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation. Algorithms 14(3): 98 (2021) - [j12]Tianyi Xiong, Zhou Gu, Jianqiang Yi, Zhiqiang Pu:
Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies. Neurocomputing 463: 483-494 (2021) - [j11]Xinlong Tao, Jianqiang Yi, Zhiqiang Pu, Tianyi Xiong:
Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach. IEEE Trans. Cybern. 51(5): 2504-2517 (2021) - [j10]Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Shiguang Wu:
Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2358-2372 (2021) - [j9]Zhiqiang Pu, Jinlin Sun, Jianqiang Yi, Zhiqiang Gao:
On the Principle and Applications of Conditional Disturbance Negation. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 6757-6767 (2021) - [c24]Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
Semantic Perception Swarm Policy with Deep Reinforcement Learning. ICONIP (3) 2021: 112-124 - [c23]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 - [c22]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 - [c21]Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi:
Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. IROS 2021: 5596-5602 - [c20]Tianle Zhang, Zhen Liu, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi:
Hierarchical Cooperative Swarm Policy Learning with Role Emergence. SSCI 2021: 1-8 - 2020
- [j8]Jinlin Sun, Jianqiang Yi, Zhiqiang Pu, Zhen Liu:
Adaptive Fuzzy Nonsmooth Backstepping Output-Feedback Control for Hypersonic Vehicles With Finite-Time Convergence. IEEE Trans. Fuzzy Syst. 28(10): 2320-2334 (2020) - [j7]Jinlin Sun, Zhiqiang Pu, Jianqiang Yi, Zhen Liu:
Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers. IEEE Trans. Ind. Informatics 16(2): 1192-1203 (2020) - [j6]Jinlin Sun, Jianqiang Yi, Zhiqiang Pu, Xiangmin Tan:
Fixed-Time Sliding Mode Disturbance Observer-Based Nonsmooth Backstepping Control for Hypersonic Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4377-4386 (2020) - [c19]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 - [c18]Huimu Wang, Zhiqiang Pu, Zhen Liu, Jianqiang Yi, Tenghai Qiu:
A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation. CASE 2020: 1257-1262 - [c17]Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang:
Multi-agent Cooperation and Competition with Two-Level Attention Network. ICONIP (2) 2020: 524-535 - [c16]Huimu Wang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi:
STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation. ICONIP (2) 2020: 663-675 - [c15]Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi:
Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j5]Xinlong Tao, Jianqiang Yi, Zhiqiang Pu, Tianyi Xiong:
State-Estimator-Integrated Robust Adaptive Tracking Control for Flexible Air-Breathing Hypersonic Vehicle With Noisy Measurements. IEEE Trans. Instrum. Meas. 68(11): 4285-4299 (2019) - [j4]Yifan Liu, Jinlin Sun, Zhiqiang Pu, Jianqiang Yi, Shiliang Pu:
Robust fuzzy tracking control for flexible air-breathing hypersonic vehicles with measurement noises. Trans. Inst. Meas. Control 41(13): 3818-3835 (2019) - [c14]Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Tianyi Xiong:
A Hybrid Multiagent Collision Avoidance Method for Formation Control. ICIRA (4) 2019: 93-102 - [c13]Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Tianyi Xiong:
Formation Control with Collision Avoidance through Deep Reinforcement Learning. IJCNN 2019: 1-8 - [c12]Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, Zezhi Sui:
Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach. IJCNN 2019: 1-8 - [c11]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 - 2018
- [c10]Yifan Liu, Jianqiang Yi, Ruyi Yuan, Zhiqiang Pu:
Adaptive Type-2 Fuzzy Control for Flexible Air-breathing Hypersonic Vehicles with Measurement Noises. ACC 2018: 1485-1490 - [c9]Jinlin Sun, Jianqiang Yi, Xiangmin Tan, Zhiqiang Pu:
Robust chattering-free control for flexible air-breathing hypersonic vehicles in the presence of disturbances and measurement noises. ACC 2018: 2264-2269 - [c8]Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, Xinlong Tao:
Consensus Based Formation Control for Multi-UAV Systems with Time-varying Delays and Jointly Connected Topologies. CASE 2018: 292-297 - [c7]Yifan Liu, Jianqiang Yi, Zhiqiang Pu:
Desired Compensation Based Adaptive Fuzzy Control for Hypersonic Vehicle with Measurement Noises. FUZZ-IEEE 2018: 1-7 - [c6]Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Xiangmin Tan:
Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning. IJCNN 2018: 1-8 - [c5]Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi:
Neural Network based Distributed Adaptive Time-varying Formation Control for Multi-UAV Systems with Varying Time Delays. IJCNN 2018: 1-7 - 2017
- [j3]Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi:
Time-varying formation finite-time tracking control for multi-UAV systems under jointly connected topologies. Int. J. Intell. Comput. Cybern. 10(4): 478-490 (2017) - [c4]Junlong Gao, Jianqiang Yi, Zhiqiang Pu, Chengdong Li:
Interval type-2 TSK nominal-fuzzy-model-based sliding mode controller design for flexible air-breathing hypersonic vehicles. FUZZ-IEEE 2017: 1-6 - 2016
- [c3]Yifan Liu, Zhiqiang Pu, Jianqiang Yi:
Adaptive type-2 fuzzy output feedback control for flexible air-breathing hypersonic vehicles. ROBIO 2016: 118-123 - [c2]Han Du, Zhiqiang Pu, Jianqiang Yi:
Integrated cooperative control scheme for multiple quadrotors based on improved adaptive disturbance rejection control. ROBIO 2016: 1147-1152 - 2015
- [j2]Zhiqiang Pu, Ruyi Yuan, Jianqiang Yi, Xiang-min Tan:
A Class of Adaptive Extended State Observers for Nonlinear Disturbed Systems. IEEE Trans. Ind. Electron. 62(9): 5858-5869 (2015) - 2014
- [j1]Zhiqiang Pu, Ruyi Yuan, Xiang-min Tan, Jianqiang Yi:
An Integrated Approach to Hypersonic Entry Attitude Control. Int. J. Autom. Comput. 11(1): 39-50 (2014) - 2013
- [c1]Zhiqiang Pu, Guoliang Fan, Xiang-min Tan, Jianqiang Yi:
Robust Trajectory Linearization Control of Hypersonic Entry Flight Using Extended State Observer and Time-Varying Bandwidth. ICONS 2013: 182-187
Coauthor Index
[j29] [j27] [j26] [j25] [c47] [c46] [c45] [c44] [i10] [i9] [i8] [i7] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [c43] [c41] [c40] [c39] [c37] [c36] [c35] [j15] [j14] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i5] [i3] [i2] [i1] [j13] [j12] [j11] [j10] [j9] [c24] [c23] [c22] [c21] [c20] [j8] [j7] [j6] [c19] [c18] [c17] [c16] [c15] [j5] [j4] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [j3] [c4] [c3] [c2] [j2] [j1] [c1]
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