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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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size pymdptoolbox-4.0b1.tar.gz (21.8 kB) | File type Source | Python version None | Upload date | Hashes View |
