Maja Machine Learning Framework Reinforcement Learning made easy.
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Maja Machine Learning Framework Tags

development develop Algorithm RL related algorithm benchmark domains Reinforcement Learning

Maja Machine Learning Framework Description

Maja Machine Learning Framework is a small, general framework specially designed 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.

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