Maja Machine Learning Framework 1.0

Jan Hendrik Metzen, Mark Edgington — Tue, 13 Sep 2011 15:13:56 -0000

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.

mloss.org Maja Machine Learning Framework

Maja Machine Learning Framework 1.0