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pymdptoolbox 4.0a2

Markov Decision Process (MDP) Toolbox

Latest Version: 4.0b2

The MDP toolbox provides classes and functions for the resolution of descrete-time Markov Decision Processes. The list of algorithms that have been implemented includes backwards induction, linear programming, policy iteration, q-learning and value iteration along with several variations.

 
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