蒲志强｜中国科学院大学｜学者主页

2026

Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning

Tianyi Hu, Qing Fu, Zhiqiang Pu, Yuan Wang, Teng-Hai Qiu

AAAI Conference on Artificial Intelligence

DOI

2026

Efficient Multiagent Reinforcement Learning With OTOS: Online Tuning From an Offline Self-Organization Model.

Zhiqiang Pu, Boyin Liu, Shi-Jie Wang, Hao Ma, Min Chen, Yi Pan

IEEE Transactions on Neural Networks and Learning Systems

DOI

2026

Efficient Soft Actor-Critic with LLM-Based Action-Level Guidance for Continuous Control

Hao Ma, Zhiqiang Pu, Xiaolin Ai, Huimu Wang

arXiv.org

DOI

2026

Toward Efficient Offline-to-Online Reinforcement Learning: Diversified Policy Ensemble With Exclusive Online Data Utilization

Jin-Yuan Feng, Zhiqiang Pu, Teng-Hai Qiu, Jian-Qiang Yi, Jie-Lun Zhao, Wen-Jun Xue

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2026

Offline multi-agent reinforcement learning for evaluating and optimizing football attacking strategies against low-block defences

Yi Pan, Zhiqiang Pu, Min Chen, Weiming Ren, Ye-Feng Li, Ming Zhi

Intelligent Sports and Health

DOI

2026

Enhancing Reinforcement Learning Fine-Tuning with an Online Refiner

Hao Ma, Zhiqiang Pu, Yang Liu, Xiaolin Ai

arXiv.org

DOI

2026

SSEditor: Controllable mask-to-scene generation with diffusion model

Haowen Zheng, Jiahao Pang, Zhiqiang Pu, Yanyan Liang

Knowledge-Based Systems

DOI

2025

面向多机协同空战的风格化分层策略设计方法

陈加乐，陈敏，冯锦元，蒲志强，陈敏杰

《指挥与控制学报》

DOI

2025

Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning

Hao Ma, Shi-Jie Wang, Zhiqiang Pu, Si-Yao Zhao, Xiaolin Ai

AAAI Conference on Artificial Intelligence

DOI

2025

MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning

Jin-Yuan Feng, Min Chen, Zhiqiang Pu, Yifan Xu, Yanyan Liang

IEEE Transactions on Artificial Intelligence

DOI

2025

Diversity-Driven Offline-to-Online Multi-Player Policy Learning for Football Matches

Shi-Jie Wang, Zhiqiang Pu, Tianyi Hu, Hao Ma, Huimu Wang, Jian-Qiang Yi

IEEE International Joint Conference on Neural Network

DOI

2025

Efficient Multitask Reinforcement Learning via Task-Specific Action Correction

Jin-Yuan Feng, Min Chen, Zhiqiang Pu, Teng-Hai Qiu, Jian-Qiang Yi, Jie Zhang

IEEE Transactions on Cognitive and Developmental Systems

DOI

2025

Heterogeneity in Multi-Agent Reinforcement Learning

Tianyi Hu, Zhiqiang Pu, Yuan Wang, Teng-Hai Qiu, Min Chen, Xin Yu

Proceedings of the 25th International Conference on Autonomous Agents and Multiagent Systems

DOI

2025

Hybrid Actor–Critic for Physically Heterogeneous Multiagent Reinforcement Learning

Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Teng-Hai Qiu, Yanyan Liang, Jian-Qiang Yi

IEEE Transactions on Cognitive and Developmental Systems

DOI

2025

Parallel Environments for Combinatorial Optimization Problems Using Reinforcement Learning

Ming Zhu, Zhiqiang Pu

IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)

DOI

2025

Parallel Environments for Graph Maxcut Using Reinforcement Learning

Shaohua Hu, Ming Zhu, Zhiqiang Pu

IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)

DOI

2025

Parallel Environments for Traveling Salesman Problems Using Reinforcement Learning

Ming Zhu, Zhiqiang Pu

IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)

DOI

2025

Towards Efficient Reinforcement Learning: A Transfer Approach via Task and Environment Difference Elimination

Junying Li, Min Chen, Zhiqiang Pu, Jiale Chen

Communications in computer and information science

DOI

2024

知识数据协同的多对手智能空中博弈策略设计

冯锦元，陈敏，李俊影，陈加乐，蒲志强，陈敏杰，孙方义

《电子学报》

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

Neural Information Processing Systems

DOI

2024

Cognition-Oriented Multiagent Reinforcement Learning

Teng-Hai Qiu, Shiguang Wu, Zhen Liu, Zhiqiang Pu, Jian-Qiang Yi, Yuqian Zhao, Biao Luo

IEEE Transactions on Neural Networks and Learning Systems

DOI

2024

Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning

Tianyi Hu, Xiaolin Ai, Zhiqiang Pu, Teng-Hai Qiu, Jian-Qiang Yi

IEEE International Joint Conference on Neural Network

DOI

2024

An Affine-Based Maneuver Control Method for Multi-Agent Cooperative Transportation System Over Switching Formations

Tianqi Liu, Xiaolin Ai, Zhiqiang Pu, Feng Lv

IEEE International Conference on Systems, Man and Cybernetics

DOI

2024

A cooperation and decision-making framework in dynamic confrontation for multi-agent systems

Lexing Wang, Teng-Hai Qiu, Zhiqiang Pu, Jian-Qiang Yi

Computers & electrical engineering

DOI

2024

Extraction and Transfer of General Deep Feature in Reinforcement Learning

Min Chen, Yi Pan, Zhiqiang Pu, Jian-Qiang Yi, Shi-Jie Wang, Boyin Liu

IEEE International Joint Conference on Neural Network

DOI

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, Jian-Qiang Yi, Feng Lv

International Conference on Artificial Neural Networks

DOI

2024

Hedonic Coalition Formation for Distributed Task Allocation in Heterogeneous Multi-agent System

Lexing Wang, Teng-Hai Qiu, Zhiqiang Pu, Jian-Qiang Yi, Jinying Zhu, Wanmai Yuan

International Journal of Control, Automation and Systems

DOI

2024

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

Zhiqiang Pu, Yi Pan, Shi-Jie Wang, Boyin Liu, Min Chen, Hao Ma, Yi-Xiong Cui

IEEE/CAA Journal of Automatica Sinica

DOI

2024

QFuture: Learning Future Expectation Cognition in Multiagent Reinforcement Learning

Boyin Liu, Zhiqiang Pu, Yi Pan, Jian-Qiang Yi, Min Chen, Shi-Jie Wang

IEEE Transactions on Cognitive and Developmental Systems

DOI

2024

Long-Term and Short-Term Opponent Intention Inference for Football Multiplayer Policy Learning

Shi-Jie Wang, Zhiqiang Pu, Yi Pan, Boyin Liu, Hao Ma, Jian-Qiang Yi

IEEE Transactions on Cognitive and Developmental Systems

DOI

2024

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph

Qing Fu, Teng-Hai Qiu, Jian-Qiang Yi, Zhiqiang Pu, Xiaolin Ai

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems

Qing Fu, Zhiqiang Pu, Min Chen, Teng-Hai Qiu, Jian-Qiang Yi

arXiv.org

DOI

2024

Fuzzy Feedback Multiagent Reinforcement Learning for Adversarial Dynamic Multiteam Competitions

Qing Fu, Zhiqiang Pu, Yi Pan, Teng-Hai Qiu, Jian-Qiang Yi

IEEE transactions on fuzzy systems

DOI

2024

Measuring Policy Distance for Multi-Agent Reinforcement Learning

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

Adaptive Agents and Multi-Agents Systems

DOI

2023

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

Yifan Xu, Zhiqiang Pu, Qi'ang Cai, Fei Li, Xinghua Chai

International Conference on Artificial Neural Networks

DOI

2023

Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning

Shi-Jie Wang, Yi Pan, Zhiqiang Pu, Boyin Liu, Jian-Qiang Yi

IEEE/RJS International Conference on Intelligent RObots and Systems

DOI

2023

A Decision-making Method for Swarm Agents in Attack-defense Confrontation

Lexing Wang, Teng-Hai Qiu, Zhiqiang Pu, Jian-Qiang Yi, Jinying Zhu, Yanjie Zhao

IFAC-PapersOnLine

DOI

2023

Multi-Missile Cooperative Attack using Attention-Based Reinforcement Learning

Teng-Hai Qiu, Zhiqiang Pu, Tianle Zhang, Jian-Qiang Yi, Yuqian Zhao

2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)

DOI

2023

Cooperative Object Transportation for Second-Order Multi-Robot Systems in Dynamic Environment

Qi'ang Cai, Xiaolin Ai, Tianqi Liu, Zhiqiang Pu

Cybersecurity and Cyberforensics Conference

DOI

2023

Multiexperience-Assisted Efficient Multiagent Reinforcement Learning

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning

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

DOI

2023

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

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

DOI

2023

Causal Mean Field Multi-Agent Reinforcement Learning

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

DOI

2023

Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems

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

DOI

2023

Heterogeneous-graph Attention Reinforcement Learning for Football Matches

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

DOI

2023

Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Yanyan Liang, Du Zhang

International Journal of Control Automation and Systems

DOI

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 Transactions on Systems Man and Cybernetics Systems

DOI

2023

Learning Heterogeneous Agent Cooperation via Multiagent League Training

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

IFAC-PapersOnLine

DOI

2023

Tacit Commitments Emergence in Multi-agent Reinforcement Learning

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

Lecture notes in computer science

DOI

2022

知识和数据协同驱动的群体智能决策方法研究综述

蒲志强，易建强，刘振，丘腾海，孙金林，李非墨

《自动化学报》

DOI

2022

通信拒止环境下的导弹集群多目标分配与决策方法

丘腾海，胡佳斌，蒲志强，易建强

《航天控制》

2022

基于分布式协商的多无人机目标覆盖与连通保持算法

陶忠良，蒲志强，王乐乐，付清旭，耿虎军

《指挥与控制学报》

2022

A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning

Qing Fu, Teng-Hai Qiu, Jian-Qiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai Yuan

IEEE Transactions on Neural Networks and Learning Systems

DOI

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 AAAI Conference on Artificial Intelligence

DOI

2022

A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks

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

IEEE Symposium Series on Computational Intelligence (SSCI)

DOI

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

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2022

Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2022

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 Transactions on Games

DOI

2022

Peer Incentive Reinforcement Learning for Cooperative Multiagent Games

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

IEEE Transactions on Games

DOI

2022

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning

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

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2022

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

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

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2022

Multi-Agent Local Information Reconstruction for Situational Cognition

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

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2022

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation

Zhiqiang Pu, Huimu Wang, Boyin Liu, Jianqiang Yi

IEEE Transactions on Games

DOI

2022

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

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI

2022

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

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

IEEE Transactions on Industrial Informatics

DOI

2021

Hierarchical Cooperative Swarm Policy Learning with Role Emergence

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

IEEE Symposium Series on Computational Intelligence (SSCI)

DOI

2021

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

Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI

2021

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

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

DOI

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 - IEEE International Conference on Robotics and Automation/Proceedings

DOI

2021

Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation

Huimu Wang, Zhen Liu, Jianqiang Yi, Zhiqiang Pu

Algorithms

DOI

2021

Semantic Perception Swarm Policy with Deep Reinforcement Learning

Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

Lecture notes in computer science

DOI

2020

一种改进RRT的多机器人编队路径规划算法

王乐乐，眭泽智，蒲志强，刘振，易建强

《电子学报》

2020

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

Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Shiguang Wu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation

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

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)

DOI

2020

Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy

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

DOI

2020

Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network

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

IFAC-PapersOnLine

DOI

2020

Multi-agent Formation Control with Obstacles Avoidance under Restricted Communication through Graph Reinforcement Learning

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

IFAC-PapersOnLine

DOI

2020

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

Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang

Lecture notes in computer science

DOI

2020

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

Huimu Wang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi

Lecture notes in computer science

DOI

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

IEEE Symposium Series on Computational Intelligence (SSCI)

DOI

2019

Formation Control with Collision Avoidance through Deep Reinforcement Learning

Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Tianyi Xiong

DOI

2018

Path Planning of Multiagent Constrained Formation through Deep Reinforcement Learning

Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Xiangmin Tan

DOI

精选作品

期刊论文

Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning

Efficient Multiagent Reinforcement Learning With OTOS: Online Tuning From an Offline Self-Organization Model.

Efficient Soft Actor-Critic with LLM-Based Action-Level Guidance for Continuous Control

Toward Efficient Offline-to-Online Reinforcement Learning: Diversified Policy Ensemble With Exclusive Online Data Utilization

Offline multi-agent reinforcement learning for evaluating and optimizing football attacking strategies against low-block defences

Enhancing Reinforcement Learning Fine-Tuning with an Online Refiner

SSEditor: Controllable mask-to-scene generation with diffusion model

面向多机协同空战的风格化分层策略设计方法

Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning

MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning

Diversity-Driven Offline-to-Online Multi-Player Policy Learning for Football Matches

Efficient Multitask Reinforcement Learning via Task-Specific Action Correction

Heterogeneity in Multi-Agent Reinforcement Learning

Hybrid Actor–Critic for Physically Heterogeneous Multiagent Reinforcement Learning

Parallel Environments for Combinatorial Optimization Problems Using Reinforcement Learning

Parallel Environments for Graph Maxcut Using Reinforcement Learning

Parallel Environments for Traveling Salesman Problems Using Reinforcement Learning

Towards Efficient Reinforcement Learning: A Transfer Approach via Task and Environment Difference Elimination

知识数据协同的多对手智能空中博弈策略设计

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

Cognition-Oriented Multiagent Reinforcement Learning

Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning

An Affine-Based Maneuver Control Method for Multi-Agent Cooperative Transportation System Over Switching Formations

A cooperation and decision-making framework in dynamic confrontation for multi-agent systems

Extraction and Transfer of General Deep Feature in Reinforcement Learning

Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation

Hedonic Coalition Formation for Distributed Task Allocation in Heterogeneous Multi-agent System

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

QFuture: Learning Future Expectation Cognition in Multiagent Reinforcement Learning

Long-Term and Short-Term Opponent Intention Inference for Football Multiplayer Policy Learning

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph

Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems

Fuzzy Feedback Multiagent Reinforcement Learning for Adversarial Dynamic Multiteam Competitions

Measuring Policy Distance for Multi-Agent Reinforcement Learning

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

Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning

A Decision-making Method for Swarm Agents in Attack-defense Confrontation

Multi-Missile Cooperative Attack using Attention-Based Reinforcement Learning

Cooperative Object Transportation for Second-Order Multi-Robot Systems in Dynamic Environment

Multiexperience-Assisted Efficient Multiagent Reinforcement Learning

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning

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

Causal Mean Field Multi-Agent Reinforcement Learning

Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems

Heterogeneous-graph Attention Reinforcement Learning for Football Matches

Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning

A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance

Learning Heterogeneous Agent Cooperation via Multiagent League Training

Tacit Commitments Emergence in Multi-agent Reinforcement Learning

知识和数据协同驱动的群体智能决策方法研究综述

通信拒止环境下的导弹集群多目标分配与决策方法

基于分布式协商的多无人机目标覆盖与连通保持算法

A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning

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

A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks

Multi-UAV Cooperative Short-Range Combat via Attention-Based Reinforcement Learning using Individual Reward Shaping

Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems

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

Peer Incentive Reinforcement Learning for Cooperative Multiagent Games

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning

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

Multi-Agent Local Information Reconstruction for Situational Cognition

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation

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

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

Hierarchical Cooperative Swarm Policy Learning with Role Emergence

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

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

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

Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation

Semantic Perception Swarm Policy with Deep Reinforcement Learning

一种改进RRT的多机器人编队路径规划算法

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

A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation

Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy

Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network

Multi-agent Formation Control with Obstacles Avoidance under Restricted Communication through Graph Reinforcement Learning

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