Tianbai Lyu

Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub

Centralized training with decentralized execution (CTDE) is a framework for MARL with wide applications. In the CTDE paradigm, agents leverage global state information during training to mitigate the non-stationarity of the MARL environment, but must rely solely on partial observations during execut