CITATION.cff

cff-version: 1.2.0
type: software
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. 32 algorithms and 24 environments, 9 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
version: 0.4.0
date-released: '2026-07-18'
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