Multi-Agent Reinforcement Learning with Communication-Constrained Priors

Guang Yang, Tianpei Yang, Jingwen Qiao +4

Communication is one of the effective means to improve the learning of cooperative policy in multi-agent systems. However, in most real-world scenarios, lossy communication is a pr…