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Published on Nov 18, 2009
This video demonstrates what problem domains can be successfully learned via Reinforcement Learning with PyBrain. PyBrain also supports all other kinds of Machine Learning domains like Supervised Learning, Artificial Evolution and Unsupervised Learning.
A lot of examples and HowTo's as well as a thorough documentation make it very easy to create your own simulations within PyBrain or to connect your problem to PyBrain to successfully learn useful behaviors.
PyBrain supports you with several models for behavior learning: Artificial Neural Networks, Recurrent Neural Networks, Gaussian Processes ...
Visit www.pybrain.org for more information.
PyBrain is a cooperative project by IDSIA and the CogBotLab Group of the Technische Universität München. Both groups are led by Prof. Jürgen Schmidhuber: http://www.idsia.ch/~juergen/