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curriculumagent


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Author: OE224, Fraunhofer IEE
Summary: CurriculumAgent is a cleanup and improved version of the NeurIPS 2020 Competition Agent by Binbinchen.The agent is build to extract action sets of the Grid2Op Environment and then use rule-based agent to train a Reinforcement Learning agent.
Latest version: 1.1.0
Required dependencies: configspace | defopt | filelock | grid2op | grpcio | gymnasium | ipython | jupyter | l2rpn_baselines | lightning | lightsim2grid | matplotlib | nni | numba | optuna | pandapower | pandas | pathlib | pytorch-tabular | ray | scikit-learn | scipy | tensorflow | tensorflow-probability | torch | torch-geometric | torchaudio | torchmetrics | torchvision | tqdm | typeguard | ubelt
Optional dependencies: coverage | pylint | pytest | pytest-benchmark | sphinx | sphinx-autodoc-typehints | sphinx-rtd-theme | sphinx_rtd_theme | tabulate | tox | twine

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