Metadata-Version: 1.0
Name: mmlf
Version: 1.0
Summary: The Maja Machine Learning Framework
Home-page: http://mmlf.sourceforge.net/
Author: Jan Hendrik Metzen, Mark Edgington
Author-email: jhm@informatik.uni-bremen.de
License: GPL
Download-URL: http://downloads.sourceforge.net/project/mmlf/mmlf/1.0/mmlf_1.0.tar.gz
Description: 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.
Platform: any
Classifier: Programming Language :: Python
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Environment :: X11 Applications :: Qt
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
