curriculumagent 0.0.2

CurriculumAgent is a Reinforcement Learning Agent designed to learn from and act within the Grid2Op Environments.

CurriculumAgent

CurriculumAgent is a Reinforcement Learning Agent designed to learn from and act within the
Grid2Op Environments. Originated from the NeurIPS 2020 Competition Agent by binbinchen, this package contains a cleanup and improved version of the agent. Next to the general code cleanup, the package is updated for the newer Grid2Op version and future research results are planed to be published for this package.

Setup

All requirements are listed in requirements.txt. Installing the package should already give you all needed requirements. Furthermore, the package can also be installed via

pip install CurriculumAgent

Usage/Documentation

Please take a look at our sphinx documentation on how to use the package.

We also provide several jupyter notebooks in ./jupyter_notebooks to get you started quickly.

In addition, a the Agent will be added to the L2RPN Baselines in the next few weeks.

License

Copyright (c) 2022 EI Innovation Lab, Huawei Cloud, Huawei Technologies and Fraunhofer IEE
The code is subject to the terms of Mozilla Public License (MPL) v2.0.
Commercial use is NOT allowed.

Please take a look at the LICENSE file for a full copy of the MPL license.