Planning with markov decision processes: an ai perspective
Auteur :
Mausam / Kolobov, Andrey
Éditeur :
Springer International Publishing AG
ISBN :
9783031004315
Date de publication :
3 juil. 2012
Dimensions :
23,5 x 19,1 cm
Langue :
Anglais
Pays d'origine :
Suisse
Markov Decision Processes (MDPs) are widely popular in Artificial Intelligence for modeling sequential decision-making scenarios with probabilistic dynamics. Table of Contents: Introduction / MDPs / Fundamental Algorithms / Heuristic Search Algorithms / Symbolic Algorithms / Approximation Algorithms / Advanced Notes