The AI framework for Reinforcement Learning, Automated Planning and Scheduling
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Scikit-decide is an AI framework for Reinforcement Learning, Automated Planning and Scheduling.
This framework was initiated at Airbus AI Research and notably received contributions through the ANITI and TUPLES projects, and also from ANU.
Quick version:
pip install scikit-decide[all]
For more details, see the online documentation.
The latest documentation is available online.
Some educational notebooks are available in notebooks/ folder.
Links to launch them online with binder are provided in the
Notebooks section of the online documentation.
More examples can be found as Python scripts in the examples/ folder, showing how to import or define a domain,
and how to run or solve it. Most of the examples rely on scikit-decide Hub, an extensible catalog of domains/solvers.
See more about how to contribute in the online documentation.
FAQs
The AI framework for Reinforcement Learning, Automated Planning and Scheduling
We found that scikit-decide demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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