Chang-Xi Zhu

Learning with Communication in Multi-agent Deep Reinforcement Learning

Communication enables cooperating agents to coordinate their behavior and to access information about the environment. In multi-agent deep reinforcement learning (MADRL), communication protocols can be learned rather than predefined, alongside agents' value functions and policies. However, learning effective communicat...