Huimu Wang

According to our database, Huimu Wang authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

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

Cognition-Driven Multiagent Policy Learning Framework for Promoting Cooperation.

Zhiqiang Pu, Huimu Wang, Boyin Liu, Jianqiang Yi

IEEE Trans. Games, September, 2023

Adaptive Hyper-parameter Learning for Deep Semantic Retrieval.

Mingming Li, Chunyuan Yuan, Huimu Wang, Peng Wang, Jingwei Zhuo, Binbin Wang, Lin Liu, Sulong Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

2021

Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation.

Huimu Wang, Zhen Liu, Jianqiang Yi, Zhiqiang Pu

Algorithms, 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

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

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