Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

10 Sep 2019Liheng ChenHongyi GuoYali DuFei FangHaifeng ZhangYaoming ZhuMing ZhouWeinan ZhangQing WangYong Yu

In many real-world problems, a team of agents need to collaborate to maximize the common reward. Although existing works formulate this problem into a centralized learning with decentralized execution framework, which avoids the non-stationary problem in training, their decentralized execution paradigm limits the agents' capability to coordinate... (read more)

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