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The MDP toolbox provides classes and functions for the resolution of discrete-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.Now incorporates visualization code (test)

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Release files for mdptoolbox-hiive 4.0.3.1

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Source distribution for mdptoolbox-hiive 4.0.3.1
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