Jingwen Qiao

Multi-Agent Reinforcement Learning with Communication-Constrained Priors

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 prevalent issue. Existing multi-agent reinforcement learning with communication, due to their limited scalability and robu…