Middle-mile logistics describes the problem of routing parcels through a network of hubs linked by trucks with finite capacity. We rephrase this as a multi-object goal-conditioned MDP. Our method combines graph neural networks with model-free RL, extracting small feature graphs from the environment state.

翻译：中英里物流描述了通过有限容量卡车连接枢纽网络进行包裹路由的问题。我们将其重新表述为多目标条件马尔可夫决策过程。所提方法将图神经网络与无模型强化学习相结合，从环境状态中提取小型特征图。