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.
Yanran Gao and Shuning Chen
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
SATFuL solves fuzzy propositional satisfiability by reducing it to MINLP, handling major fuzzy logics in one framework and showing competitive results on Lukasiewicz and Product logics.
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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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Solving Fuzzy Satisfiability via Mixed-Integer Non-Linear Programming
SATFuL solves fuzzy propositional satisfiability by reducing it to MINLP, handling major fuzzy logics in one framework and showing competitive results on Lukasiewicz and Product logics.