AI RESEARCH
Multi-Agent Environments for Vehicle Routing Problems
arXiv CS.LG
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ArXi:2411.14411v2 Announce Type: replace Research on Reinforcement Learning (RL) approaches for discrete optimization problems has increased considerably, extending RL to areas classically dominated by Operations Research (OR). Vehicle routing problems are a good example of discrete optimization problems with high practical relevance, for which RL techniques have achieved notable success. Despite these advances, open-source development frameworks remain scarce, hindering both algorithm testing and objective comparison of results.