Markov Decision Process (MDP) Toolbox
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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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pymdptoolbox-4.0-b3.tar.gz (22.5 kB) Copy SHA256 hash SHA256||Source||None||Jan 12, 2015|
|pymdptoolbox-4.0-b3.zip (29.8 kB) Copy SHA256 hash SHA256||Source||None||Jan 12, 2015|