A general learning algorithm
Becca is a general learning program for use in any robot or embodied system. When using Becca, a robot learns to do whatever it is rewarded to do, and continues learning throughout its lifetime.
###How do I try Becca out?
Make sure you have a current version of Anaconda, and version 0.27 or higher of numba.
conda update conda conda update anaconda conda update numba
Pull down the code from Pypi.
pip install –pre becca pip install –pre becca_test
Run it on your local machine.
python >>>import becca_test >>>becca_test.test.suite()
###What can Becca do?
Some [videos](http://youtu.be/4kPoU8eZvio?list=PLF861CC4C40439EEB) show Becca in action.
###How does Becca work?
I owe you an update, but here’s the [how it works](https://github.com/brohrer/becca-docs/blob/master/how_it_works.pdf?raw=true) document from a previous version. Some of the principles are the same.
###How do I use Becca with my own robot?
The [wiki](https://github.com/brohrer/becca/wiki) has tutorials on how to use Becca in your application.
[![Join the chat at https://gitter.im/brohrer/becca](https://badges.gitter.im/brohrer/becca.svg)](https://gitter.im/brohrer/becca?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) provides a forum for users to share questions, solutions, and experiences.
<a href=”url”><img src=”https://github.com/brohrer/becca-docs/raw/master/figs/logo_plate.png” align=”center” height=”40” width=”120” ></a>
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