An AGV Task Scheduling Method Based on Multi-Agent Reinforcement Learning

In order to improve the transportation efficiency of hospital AGV logistics system, we have studied the task scheduling of AGVs. We mathematically describe the multi-vehicle scheduling problem in hospital AGV logistics system, propose a task scheduling method based on multi-agent reinforcement learning, and demonstrate that this scheduling strategy outperforms the traditional heuristic scheduling strategy in terms of both solution results and computational efficiency.