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