Maja Machine Learning Framework
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.
Maja Machine Learning Framework Support Forum
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