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Multi-Agent Environments for Vehicle Routing Problems
Research on Reinforcement Learning (RL) approaches for discrete optimization problems
has increased considerably, extending RL to an area classically dominated by Operations …
has increased considerably, extending RL to an area classically dominated by Operations …
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding
The Mixed-Shelves Picker Routing Problem (MSPRP) is a fundamental challenge in
warehouse logistics, where pickers must navigate a mixed-shelves environment to retrieve …
warehouse logistics, where pickers must navigate a mixed-shelves environment to retrieve …