32.6MLMay 4
Middle-mile logistics through the lens of goal-conditioned reinforcement learningOnno Eberhard, Thibaut Cuvelier, Michal Valko et al.
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.