skip to navigation
skip to content

Not Logged In

mmlf 1.0

The Maja Machine Learning Framework

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.

 
File Type Py Version Uploaded on Size
mmlf-1.0.zip (md5) Source 2011-05-10 3MB
  • Downloads (All Versions):
  • 2 downloads in the last day
  • 18 downloads in the last week
  • 143 downloads in the last month