Tenghai Qiu

According to our database, Tenghai Qiu authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

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

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

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

IEEE Trans. Ind. Informatics, 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

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

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

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

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

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

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

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

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