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CITATION.cff

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+cff-version: 1.2.0
+title: >-
+  decisionrl — reinforcement learning for operational decisions
+message: >-
+  If you use decisionrl in work you publish, please cite it using this entry.
+abstract: >-
+  A reinforcement learning library aimed at operational decisions with a cost function -- pricing, inventory, energy, queueing and supply chains -- rather than at benchmark scores. Thirty-one algorithms and twenty-two environments, nine of them applied. Every applied environment ships with the classical operations-research baseline beside it, so a learned policy is measured against the standard method rather than asserted to improve on it.
+authors:
+  - family-names: Drobyshev
+    given-names: Denis
+repository-code: https://github.com/DrobyshevDev/decisionrl
+url: https://github.com/DrobyshevDev/decisionrl
+license: MIT
+keywords:
+  - reinforcement-learning
+  - operations-research
+  - inventory-management
+  - dynamic-pricing
+  - benchmarking
+  - python