Markov Decision Processes (MDP) Toolbox

Version 1.6 (392 ko) par Marie-Josee Cros
Functions related to the resolution of discrete-time Markov Decision Processes.
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Mise à jour 20 jan. 2015

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The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes: backwards induction, value iteration, policy iteration, linear programming algorithms with some variants.
The functions were developped with MATLAB (note that one of the functions requires the Mathworks Optimization Toolbox) by Iadine Chadès, Marie-Josée Cros, Frédérick Garcia, Régis Sabbadin of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France).
Toolbox page: http://www.inra.fr/mia/T/MDPtoolbox

Citation pour cette source

Marie-Josee Cros (2024). Markov Decision Processes (MDP) Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/25786-markov-decision-processes-mdp-toolbox), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2014b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Markov Chain Models dans Help Center et MATLAB Answers
Remerciements

A inspiré : Betavol(x,R,fig)

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MDPtoolbox/

Version Publié le Notes de version
1.6

Add the possibility to download as a toolbox (.mltbx file).
1.5.0.0

Complete Other Requirements.
1.4.0.0

Mainly improve documentation (Jan. 2014)
1.3.0.0

Update the zip file !
1.2.0.0

The version 4.0 (October 2012) is entirely compatible with GNU Octave (version 3.6), the output of several functions: mdp_relative_value_iteration, mdp_value_iteration and mdp_eval_policy_iterative, were modified.

1.1.0.0

Add all authors names
1.0.0.0