Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence

Faizan Contractor, Li Li, Ranwa Al Mallah

Popular methods in cooperative Multi-Agent Reinforcement Learning with partially observable environments typically allow agents to act independently during execution, which may lim…