Github port of MMLF (created for my convenience).

Main project location: https://sourceforge.net/projects/mmlf/

Documentation: http://mmlf.sourceforge.net/

This repo is made available with the same license as the original project.

Copyrights are retained by the original authors.

This repository may contain additional code that I add as necessary for my work.

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.