scikit-decide


Namescikit-decide JSON
Version 1.0.2 PyPI version JSON
download
home_pagehttps://airbus.github.io/scikit-decide/
SummaryThe AI framework for Reinforcement Learning, Automated Planning and Scheduling
upload_time2024-10-25 14:39:59
maintainerNone
docs_urlNone
authorAirbus AI Research
requires_python<4.0,>=3.9
licenseMIT
keywords reinforcement learning planning scheduling
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
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<br>

# Scikit-decide for Python

Scikit-decide is an AI framework for Reinforcement Learning, Automated Planning and Scheduling.

This framework was initiated at [Airbus](https://www.airbus.com) AI Research and notably received contributions through the [ANITI](https://aniti.univ-toulouse.fr/en/) and [TUPLES](https://tuples.ai/) projects, and also from [ANU](https://www.anu.edu.au/).

## Installation

Quick version:
```shell
pip install scikit-decide[all]
```
For more details, see the [online documentation](https://airbus.github.io/scikit-decide/install).

## Documentation

The latest documentation is available [online](https://airbus.github.io/scikit-decide).

## Examples

Some educational notebooks are available in `notebooks/` folder.
Links to launch them online with [binder](https://mybinder.org/) are provided in the
[Notebooks section](https://airbus.github.io/scikit-decide/notebooks) 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](https://airbus.github.io/scikit-decide/contribute).


            

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