Hierarchical Multi-agent Reinforcement Learning for Warehouse Robot Coordination under Communication Loss

In this paper, we propose a hierarchical multi-agent reinforcement learning framework for coordinating robot teams in warehouse environments under communication loss. We partition the robot team into groups, with centralized coordination within each group and distributed coordination across groups.