NDLI: GMDPtoolbox : a Matlab library for solving Graph-based Markov Decision Processes

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GMDPtoolbox : a Matlab library for solving Graph-based Markov Decision Processes

Content Provider	Semantic Scholar
Author	Cros, Marie-Josée Peyrard, Nathalie
Copyright Year	2016
Abstract	Systems management in ecology or agriculture is complex because several entities in interaction must be managed together with a long term objective. Finding an optimal (or at least a good) policy to govern these large systems is still a challenge in practice. Graphbased Markov Decision Processes (GMDPs) form a suitable tool for modelling and solving such structured problems of sequential decision under uncertainty. In this article we introduce GMDPtoolbox: a Matlab library dedicated to the GMDP framework. The toolbox allows to easily represent a problem as a GMDP, to solve it (e.g. finding a “good” local policy) and finally to analyze a policy or compare its performance with human-built policies, like expert ones. RÉSUMÉ. La gestion de systèmes en écologie et agronomie est une tâche complexe du fait de la nécessaire prise en compte simultanée de différentes entités en intéraction et d’objectifs définis à long terme. En pratique, trouver une politique optimale (ou au moins satisfaisante) est encore un challenge pour ces problèmes de grande taille. Les Processus Décisionnels de Markov sur Graphe (PDMG) fournissent un cadre adapté pour modéliser et résoudre de tels problèmes structurés de décision séquentielle sous incertitude. Dans cet aticle, nous présentons la GMDPtoolbox : une boite à outils Matlab dédiée au cadre des PDMG. La boite à outils permet de représenter facilement un problème, de trouver une solution sous forme d’une politique locale, et enfin d’analyser une politique ou de la comparer à des politiques construites par un humain, comme les politiques expertes.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://rfia2016.iut-auvergne.com/media/articles/JFRB10.pdf
Alternate Webpage(s)	http://www7.inra.fr/mia/T/GMDPtoolbox/pub/GMDPtoolbox_JFRB16_slides.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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