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decisionrl


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Author: Denis Drobyshev
License: MIT
Summary: Applied reinforcement learning for operational decisions: pricing, inventory, energy, queues and supply chains — plus a correctness-first library of 31 algorithms.
Latest version: 0.4.0
Required dependencies: numpy | torch
Optional dependencies: fastapi | flask | gymnasium | httpx | hypothesis | matplotlib | mkdocs-material | mypy | onnx | onnxruntime | optuna | plotly | pytest | pytest-cov | pytest-xdist | pyyaml | ruff | tensorboard | tqdm | uvicorn

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