gym-invmgmt is a new benchmarking framework that evaluates inventory policies across optimization and learning methods, finding stochastic programming strongest among non-oracle approaches and PPO-Transformer best among learned ones in tested scenarios.
Optimalinventorypolicy.Econometrica,19(3):250–272
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Presents MAEnvs4VRP, a modular PyTorch library providing unified multi-agent environments for multiple variants of vehicle routing problems following the AEC model.
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gym-invmgmt: An Open Benchmarking Framework for Inventory Management Methods
gym-invmgmt is a new benchmarking framework that evaluates inventory policies across optimization and learning methods, finding stochastic programming strongest among non-oracle approaches and PPO-Transformer best among learned ones in tested scenarios.
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Multi-Agent Environments for Vehicle Routing Problems
Presents MAEnvs4VRP, a modular PyTorch library providing unified multi-agent environments for multiple variants of vehicle routing problems following the AEC model.