Project details for Maja Machine Learning Framework

Screenshot Maja Machine Learning Framework 0.9.7

by jhm - May 7, 2010, 21:24:11 CET [ Project Homepage BibTeX Download ]

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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:

Added model-based learning algorithms DYNA-TD and model-based direct policy search (MBDPS). Added an initial version of a graphical user interface

BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: None
Tags: Reinforcement Learning, Optimization, Evolution, Toolbox, Neuroevolution
Archive: download here


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