Zhiqiang Pu

According to our database, Zhiqiang Pu authored at least 83 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multiexperience-Assisted Efficient Multiagent Reinforcement Learning.

Tianle Zhang, Zhen Liu, Jianqiang Yi, Shiguang Wu, Zhiqiang Pu, Yanjie Zhao

IEEE Trans. Neural Networks Learn. Syst., September, 2024

QFuture: Learning Future Expectation Cognition in Multiagent Reinforcement Learning.

Boyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Min Chen, Shijie Wang

IEEE Trans. Cogn. Dev. Syst., August, 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., May, 2024

Orientation and Decision-Making for Soccer Based on Sports Analytics and AI: A Systematic Review.

Zhiqiang Pu, Yi Pan, Shijie Wang, Boyin Liu, Min Chen, Hao Ma, Yixiong Cui

IEEE CAA J. Autom. Sinica, January, 2024

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning.

Hao Ma, Tianyi Hu, Zhiqiang Pu, Boyin Liu, Xiaolin Ai, Yanyan Liang, Min Chen

CoRR, 2024

Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction.

Jinyuan Feng, Min Chen, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi

CoRR, 2024

Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems.

Qingxu Fu, Zhiqiang Pu, Min Chen, Tenghai Qiu, Jianqiang Yi

CoRR, 2024

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph.

Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai

CoRR, 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

Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning.

Tianyi Hu, Xiaolin Ai, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi

Proceedings of the International Joint Conference on Neural Networks, 2024

Extraction and Transfer of General Deep Feature in Reinforcement Learning.

Min Chen, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Shijie Wang, Boyin Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Measuring Policy Distance for Multi-Agent Reinforcement Learning.

Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Peer Incentive Reinforcement Learning for Cooperative Multiagent Games.

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

IEEE Trans. Games, December, 2023

Learning to Play Football From Sports Domain Perspective: A Knowledge-Embedded Deep Reinforcement Learning Framework.

Boyin Liu, Zhiqiang Pu, Tianle Zhang, Huimu Wang, Jianqiang Yi, Jiachen Mi

IEEE Trans. Games, December, 2023

Attention Enhanced Reinforcement Learning for Multi agent Cooperation.

Zhiqiang Pu, Huimu Wang, Zhen Liu, Jianqiang Yi, Shiguang Wu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Appointed-Time Control for Flexible Hypersonic Vehicles with Conditional Disturbance Negation.

Jinlin Sun, Zhiqiang Pu, Yafei Chang, Shihong Ding, Jianqiang Yi

IEEE Trans. Aerosp. Electron. Syst., October, 2023

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation.

Zhiqiang Pu, Huimu Wang, Boyin Liu, Jianqiang Yi

IEEE Trans. Games, September, 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., July, 2023

Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems.

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Adaptive Fuzzy Appointed-Time Control for Uncertain Systems Bounded by Positive Functions.

Lihui Ding, Jinlin Sun, Shihong Ding, Zhiqiang Pu, Jianqiang Yi

IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed.

Shiguang Wu, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang

IEEE Trans. Ind. Informatics, 2023

Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning.

Shijie Wang, Yi Pan, Zhiqiang Pu, Boyin Liu, Jianqiang Yi

IROS, 2023

Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems.

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan

Proceedings of the International Joint Conference on Neural Networks, 2023

Heterogeneous-graph Attention Reinforcement Learning for Football Matches.

Shiiie Wang, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Yanyan Liang, Du Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

Causal Mean Field Multi-Agent Reinforcement Learning.

Hao Ma, Zhiqiang Pu, Yi Pan, Boyin Liu, Junlong Gao, Zhenyu Guo

Proceedings of the International Joint Conference on Neural Networks, 2023

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning.

Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan

Proceedings of the International Joint Conference on Neural Networks, 2023

All for Goals: a Stylized Automated Analysis Framework in Football Matches.

Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yixiong Cui, Lida Du

Proceedings of the International Joint Conference on Neural Networks, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

Improving Generalization of Multi-agent Reinforcement Learning Through Domain-Invariant Feature Extraction.

Yifan Xu, Zhiqiang Pu, Qiang Cai, Feimo Li, Xinghua Chai

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

A Knowledge-Based Autonomous Decision-Making Method for Agents in Asymmetric Confrontation.

Lexing Wang, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Jinying Zhu

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems With Time-Varying Constraints and Input Saturations.

Jinlin Sun, Jianqiang Yi, Zhiqiang Pu

IEEE Trans. Fuzzy Syst., 2022

Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems.

Jinlin Sun, Haibo He, Jianqiang Yi, Zhiqiang Pu

IEEE Trans. Cybern., 2022

Learning Heterogeneous Agent Cooperation via Multiagent League Training.

Qingxu Fu, Xiaolin Ai, Jianqiang Yi, Tenghai Qiu, Wanmai Yuan, Zhiqiang Pu

CoRR, 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

Characterizing player's playing styles based on Player Vectors for each playing position in the Chinese Football Super League.

Yuesen Li, Shouxin Zong, Yanfei Shen, Zhiqiang Pu, Miguel Ángel Gómez, Yixiong Cui

CoRR, 2022

A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks.

Lexing Wang, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning.

Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Agent Local Information Reconstruction for Situational Cognition.

Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi

Proceedings of the International Joint Conference on Neural Networks, 2022

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning.

Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs.

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Tacit Commitments Emergence in Multi-agent Reinforcement Learning.

Boyin Liu, Zhiqiang Pu, Junlong Gao, Jianqiang Yi, Zhenyu Guo

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning.

Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Selected Interaction Swarming Algorithm for Connected Dynamic Coverage of Mobile Sensor Networks.

Lexing Wang, Zhiqiang Pu, Tenghai Qiu, Zhen Liu, Jianqiang Yi

Proceedings of the American Control Conference, 2022

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems.

Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

On the Principle and Applications of Conditional Disturbance Negation.

Zhiqiang Pu, Jinlin Sun, Jianqiang Yi, Zhiqiang Gao

IEEE Trans. Syst. Man Cybern. Syst., 2021

Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration.

Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Shiguang Wu

IEEE Trans. Neural Networks Learn. Syst., 2021

Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach.

Xinlong Tao, Jianqiang Yi, Zhiqiang Pu, Tianyi Xiong

IEEE Trans. Cybern., 2021

Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies.

Tianyi Xiong, Zhou Gu, Jianqiang Yi, Zhiqiang Pu

Neurocomputing, 2021

Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation.

Huimu Wang, Zhen Liu, Jianqiang Yi, Zhiqiang Pu

Algorithms, 2021

Hierarchical Cooperative Swarm Policy Learning with Role Emergence.

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments.

Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Multi-Agent Cognition Difference Reinforcement Learning for Multi-Agent Cooperation.

Huimu Wang, Tenghai Qiu, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework.

Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Semantic Perception Swarm Policy with Deep Reinforcement Learning.

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Fixed-Time Sliding Mode Disturbance Observer-Based Nonsmooth Backstepping Control for Hypersonic Vehicles.

Jinlin Sun, Jianqiang Yi, Zhiqiang Pu, Xiangmin Tan

IEEE Trans. Syst. Man Cybern. Syst., 2020

Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers.

Jinlin Sun, Zhiqiang Pu, Jianqiang Yi, Zhen Liu

IEEE Trans. Ind. Informatics, 2020

Adaptive Fuzzy Nonsmooth Backstepping Output-Feedback Control for Hypersonic Vehicles With Finite-Time Convergence.

Jinlin Sun, Jianqiang Yi, Zhiqiang Pu, Zhen Liu

IEEE Trans. Fuzzy Syst., 2020

Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy.

Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-agent Cooperation and Competition with Two-Level Attention Network.

Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-agent Cooperation.

Huimu Wang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks.

Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Jinlin Sun, Tianyi Xiong, Tenghai Qiu

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation.

Huimu Wang, Zhiqiang Pu, Zhen Liu, Jianqiang Yi, Tenghai Qiu

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Robust fuzzy tracking control for flexible air-breathing hypersonic vehicles with measurement noises.

Yifan Liu, Jinlin Sun, Zhiqiang Pu, Jianqiang Yi, Shiliang Pu

Trans. Inst. Meas. Control, 2019

State-Estimator-Integrated Robust Adaptive Tracking Control for Flexible Air-Breathing Hypersonic Vehicle With Noisy Measurements.

Xinlong Tao, Jianqiang Yi, Zhiqiang Pu, Tianyi Xiong

IEEE Trans. Instrum. Meas., 2019

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, Zhaoyang Liu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

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

Proceedings of the International Joint Conference on Neural Networks, 2019

Formation Control with Collision Avoidance through Deep Reinforcement Learning.

Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Tianyi Xiong

Proceedings of the International Joint Conference on Neural Networks, 2019

A Hybrid Multiagent Collision Avoidance Method for Formation Control.

Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Tianyi Xiong

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

2018

Neural Network based Distributed Adaptive Time-varying Formation Control for Multi-UAV Systems with Varying Time Delays.

Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning.

Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Xiangmin Tan

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Desired Compensation Based Adaptive Fuzzy Control for Hypersonic Vehicle with Measurement Noises.

Yifan Liu, Jianqiang Yi, Zhiqiang Pu

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Consensus Based Formation Control for Multi-UAV Systems with Time-varying Delays and Jointly Connected Topologies.

Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi, Xinlong Tao

Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

Robust chattering-free control for flexible air-breathing hypersonic vehicles in the presence of disturbances and measurement noises.

Jinlin Sun, Jianqiang Yi, Xiangmin Tan, Zhiqiang Pu

Proceedings of the 2018 Annual American Control Conference, 2018

Adaptive Type-2 Fuzzy Control for Flexible Air-breathing Hypersonic Vehicles with Measurement Noises.

Yifan Liu, Jianqiang Yi, Ruyi Yuan, Zhiqiang Pu

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Time-varying formation finite-time tracking control for multi-UAV systems under jointly connected topologies.

Tianyi Xiong, Zhiqiang Pu, Jianqiang Yi

Int. J. Intell. Comput. Cybern., 2017

Interval type-2 TSK nominal-fuzzy-model-based sliding mode controller design for flexible air-breathing hypersonic vehicles.

Junlong Gao, Jianqiang Yi, Zhiqiang Pu, Chengdong Li

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Adaptive type-2 fuzzy output feedback control for flexible air-breathing hypersonic vehicles.

Yifan Liu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Integrated cooperative control scheme for multiple quadrotors based on improved adaptive disturbance rejection control.

Han Du, Zhiqiang Pu, Jianqiang Yi

Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

2015

A Class of Adaptive Extended State Observers for Nonlinear Disturbed Systems.

Zhiqiang Pu, Ruyi Yuan, Jianqiang Yi, Xiang-min Tan

IEEE Trans. Ind. Electron., 2015

2014

An Integrated Approach to Hypersonic Entry Attitude Control.

Zhiqiang Pu, Ruyi Yuan, Xiang-min Tan, Jianqiang Yi

Int. J. Autom. Comput., 2014

2013

Robust Trajectory Linearization Control of Hypersonic Entry Flight Using Extended State Observer and Time-Varying Bandwidth.

Zhiqiang Pu, Guoliang Fan, Xiang-min Tan, Jianqiang Yi

Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013