Jianqiang Yi

发表

Q-learning System Based on Cooperative Least Squares Support Vector Machine: Q-learning System Based on Cooperative Least Squares Support Vector Machine

Xue-Song Wang, Xilan Tian, Jianqiang Yi, 2009 .

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning

Z. Pu, Jianqiang Yi, Qing Fu, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach

Z. Pu, Jianqiang Yi, Qing Fu, 2022, ArXiv.

Controller design and stability analysis for spinning missiles via tensor product

Z. Liu, Jianqiang Yi, Zhiming Zhou, 2022, Aerospace Science and Technology.

Hierarchical Cooperative Swarm Policy Learning with Role Emergence

Z. Liu, Z. Pu, Jianqiang Yi, 2021, 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

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

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication

Z. Pu, Jianqiang Yi, X. Ai, 2022, Nonlinear Dynamics.

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

Z. Pu, Jianqiang Yi, Zhen Liu, 2022, 2022 International Conference on Robotics and Automation (ICRA).

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

Xinlong Tao, Zhiqiang Pu, Jianqiang Yi, 2019, IEEE Transactions on Cybernetics.

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

Zhiqiang Pu, Shiguang Wu, Zezhi Sui, 2020, IEEE Transactions on Neural Networks and Learning Systems.

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

Haibo He, Zhiqiang Pu, Jinlin Sun, 2020, IEEE Transactions on Cybernetics.

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

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2023, IEEE Transactions on Industrial Informatics.

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

Z. Pu, Jianqiang Yi, Zhen Liu, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Learning Heterogeneous Agent Cooperation via Multiagent League Training

Z. Pu, Jianqiang Yi, Qing Fu, 2022, ArXiv.

A Distributed Hedonic Coalition Formation Method for Multi-agent Tasks

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2022, 2022 IEEE Symposium Series on Computational Intelligence (SSCI).

Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems

Z. Pu, Jianqiang Yi, Zhen Liu, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Multi-Agent Local Information Reconstruction for Situational Cognition

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2022, IEEE International Joint Conference on Neural Network.

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

Z. Pu, Jianqiang Yi, Zhen Liu, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

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

Z. Pu, Jianqiang Yi, Qing Fu, 2022, AAAI.

Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy

Zhen Liu, Zhiqiang Pu, Tianle Zhang, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

On the Principle and Applications of Conditional Disturbance Negation

Zhiqiang Pu, Jinlin Sun, Jianqiang Yi, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Fixed‐time observer based adaptive neural network time‐varying formation tracking control for multi‐agent systems via minimal learning parameter approach

Xinlong Tao, Zhiqiang Pu, Tianyi Xiong, 2020, IET Control Theory & Applications.

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

Ruiguang Hu, Z. Pu, Jianqiang Yi, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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

Z. Pu, Jianqiang Yi, Zhen Liu, 2023, International Journal of Control, Automation and Systems.

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning

Z. Pu, Jianqiang Yi, Qing Fu, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

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

Shihong Ding, Z. Pu, Jianqiang Yi, 2023, IEEE Transactions on Circuits and Systems II: Express Briefs.

Attention Enhanced Reinforcement Learning for Multi agent Cooperation

Z. Liu, Z. Pu, Jianqiang Yi, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning

Bo Liu, Z. Pu, Jianqiang Yi, 2023, ICML.

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

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Peer Incentive Reinforcement Learning for Cooperative Multiagent Games

Z. Pu, Jianqiang Yi, Zhen Liu, 2023, IEEE Transactions on Games.

An Integrated Approach to Hypersonic Entry Attitude Control

Ruyi Yuan, Zhiqiang Pu, Jianqiang Yi, 2014, Int. J. Autom. Comput..

Heterogeneous-graph Attention Reinforcement Learning for Football Matches

Z. Pu, Jianqiang Yi, Yanyan Liang, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

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

Jianqiang Yi, Qing Fu, Tenghai Qiu, 2024, 2403.18056.

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation

Bo Liu, Z. Pu, Jianqiang Yi, 2023, IEEE Transactions on Games.

Hierarchical Cooperative Swarm Policy Learning with Role Emergence

Z. Liu, Z. Pu, Jianqiang Yi, 2021, IEEE Symposium Series on Computational Intelligence.

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach

Z. Pu, Jianqiang Yi, Qing Fu, 2022, ArXiv.

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

Z. Pu, Jianqiang Yi, Qing Fu, 2022, AAAI.

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

Z. Pu, Jianqiang Yi, Tenghai Qiu, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning

Jianqiang Yi, Yi Pan, Zhiqiang Pu, 2023, 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

3D deployment of UAV-mounted base stations for heterogeneous access requirements

Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, 2023, Aerospace Science and Technology.

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

Jianqiang Yi, Tenghai Qiu, Zhiqiang Pu, 2024, 2404.05950.