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Maja Machine Learning Framework 0.9.6
by jhm - December 4, 2009, 08:14:56 CET [
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- Description:
The Maja Machine Learning Framework (MMLF) is a general framework for problems in the domain of Reinforcement Learning (RL) written in python. 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), CMA-ES, EANT, 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.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Supported Operating Systems: Agnostic
- Data Formats: None
- Tags: Reinforcement Learning, Optimization, Evolution, Toolbox, Neuroevolution
- Archive: download here
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Project details for Maja Machine Learning Framework
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Details
- Version:
- 0.9.6
- Submitter:
- jhm
- Author(s):
- Jan Hendrik Metzen , Mark Edgington
- Posted:
- 4 December 2009
- Last Updated:
- 4 December 2009
- Open Source License:
- gpl version 3 or later
- Programming Language(s):
- python