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Markov Decision Process (MDP) Toolbox

Project description

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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4.0-b3

This version
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4.0b2

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4.0b1

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4.0a2

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4.0a1

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Filename, size & hash SHA256 hash help File type Python version Upload date
pymdptoolbox-4.0b2.tar.gz (23.2 kB) Copy SHA256 hash SHA256 Source None Mar 14, 2014

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