A knowledge-embedded RL framework decomposes generalized CVRPs into route-first and cluster-second subproblems, using dynamic programming to guide the RL solver and a history-enhanced context module to handle partial observability, yielding better solutions than prior learning methods.
The open vehicle routing problem: Algorithms, large-scale test problems, and computational results.Com- puters & operations research, 34(10):2918–2930
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A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems
A knowledge-embedded RL framework decomposes generalized CVRPs into route-first and cluster-second subproblems, using dynamic programming to guide the RL solver and a history-enhanced context module to handle partial observability, yielding better solutions than prior learning methods.