The AI framework for Reinforcement Learning, Automated Planning and Scheduling

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  • License: MIT License (MIT)
  • Author: Airbus AI Research
  • Tags reinforcement learning, planning, scheduling
  • Requires: Python <4.0, >=3.9
  • Provides-Extra: all, domains, solvers
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Scikit-decide for Python

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.

Installation

Quick version:

pip install scikit-decide[all]

For more details, see the online documentation.

Documentation

The latest documentation is available online.

Examples

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.

Contributing

See more about how to contribute in the online documentation.

Project details

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  • License: MIT License (MIT)
  • Author: Airbus AI Research
  • Tags reinforcement learning, planning, scheduling
  • Requires: Python <4.0, >=3.9
  • Provides-Extra: all, domains, solvers
Classifiers

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