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:

• Added "Experimenter" GUI to MMLF that allows to compare the performance of different agents
• Various small improvements of the GUI
• Added a simple two-player card game environment called "Seventeen and Four"

BibTeX Entry: Download

Supported Operating Systems: Agnostic

Data Formats: None

Tags: Reinforcement Learning, Optimization, Evolution, Toolbox, Neuroevolution

Archive: download here

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