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.
Symmetry-informed marl: A de- centralized and cooperative uav swarm control approach for communication coverage.IEEE Transactions on Mo- bile Computing, 24(01):1–18
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.