stadion-rl is an open-source Python package for evaluating operational decision-making agents against tuned classical methods and exact optima. It supports benchmark scenarios involving inventory, pricing, queueing, operations research, and reinforcement learning.
stadion-rl is an Optimisation & solvers project. It focuses on evaluating whether operational decision-making agents perform competitively against classical methods and exact optima. stadion-rl is an open-source project aimed at machine learning researchers and operations-research developers. stadion-rl is open source under the MIT license. stadion-rl is available on the command line, and it can be self-hosted.
It is developed by DrobyshevDev, and it first shipped in 2026. Development happens publicly on GitHub with 6 commits in the last 90 days. Among its 7 catalogued features are benchmark evaluation, agent scoring, and confidence intervals.
Summary written by a language model from the project’s public pages.
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