Department of Computer Science and Engineering, The Chinese University of Hong Kong; Zhejiang Lab, Zhejiang University; Tianjin University; Department of Computer Science and Engineering, The Chinese University of Hong Kong, Institute of Medical Intelligence and XR, The Chinese University of Hong Kong
Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng
multiagent system;deep reinforcement learning;action parsing;working memory
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing