[robotics-worldwide] PyBrain Machine Learning Library, with examples of robot learning

Juergen Schmidhuber juergen at idsia.ch
Thu Mar 11 02:24:12 PST 2010


For those interested in robot learning:

The PyBrain Machine Learning Library http://pybrain.org
just got published in the JMLR open source track. PyBrain is
written in Python, with strong emphasis on reinforcement learning
and optimization, but also supervised and unsupervised learning,
in particular, methods for recurrent networks with and without teachers.
Many of the algorithms cannot be found in other libraries. PyBrain
also features standard benchmarks and visualization tools.

Video of PyBrain in action, with examples of robot learning:
http://www.youtube.com/watch?v=fEM7YDNonSE
Full list of features: http://www.pybrain.org/pages/features
Mailing list: http://groups.google.com/group/pybrain
All other information (source, documentation, etc.):
http://www.pybrain.org

Core PyBrain developers (in alphabetical order):
Justin Bayer, Martin Felder, Thomas Rückstieß,
Tom Schaul, Frank Sehnke, Daan Wierstra

We are always looking for motivated contributors.
Post feedback or feature requests on github:
http://github.com/pybrain/pybrain/issues

Reference:
T. Schaul, J. Bayer, D. Wierstra, S. Yi, M. Felder,
F. Sehnke, T. Rückstieß, J. Schmidhuber:   PyBrain.
Journal of Machine Learning Research, 11:743-746, 2010.

Jobs: http://www.idsia.ch/~juergen/sn2010.html
Robot learning: http://www.idsia.ch/~juergen/learningrobots.html

Jürgen Schmidhuber
http://www.idsia.ch/~juergen/whatsnew.html


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