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mmlf 1.0
The Maja Machine Learning Framework
Maja Machine Learning Framework
The Maja Machine Learning Framework (MMLF) is a general framework for problems in the domain of Reinforcement Learning (RL). It provides a set of RL related algorithms and a set of benchmark domains. Furthermore it is easily extensible and allows to automate benchmarking of different agents.
Among the RL algorithms are TD(lambda), DYNA-TD, CMA-ES, Fitted R-Max, and Monte-Carlo learning. MMLF contains different variants of the maze-world and pole-balancing problem class as well as the mountain-car testbed.
Further documentation is available under http://mmlf.sourceforge.net/
Contact the mailing list MMLF-support@lists.sourceforge.net if you have any questions.
| File | Type | Py Version | Uploaded on | Size | # downloads |
|---|---|---|---|---|---|
| mmlf-1.0.zip (md5) | Source | 2011-05-10 | 3MB | 271 | |
- Author: Jan Hendrik Metzen, Mark Edgington
- Home Page: http://mmlf.sourceforge.net/
- Download URL: http://downloads.sourceforge.net/project/mmlf/mmlf/1.0/mmlf_1.0.tar.gz
- License: GPL
- Platform: any
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Categories
- Development Status :: 4 - Beta
- Environment :: Console
- Environment :: X11 Applications :: Qt
- Intended Audience :: Education
- Intended Audience :: Science/Research
- License :: OSI Approved :: GNU General Public License (GPL)
- Operating System :: OS Independent
- Programming Language :: Python
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Package Index Owner: jmetzen
- DOAP record: mmlf-1.0.xml