Learning to Share in Multi-Agent Reinforcement Learning

Yuxuan Yi, Ge Li, Yaowei Wang +1

In this paper, we study the problem of networked multi-agent reinforcement learning (MARL), where a number of agents are deployed as a partially connected network and each interact…