Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Auteur(s) : Powell, Warren B. (1955-....)
Titre(s) : Reinforcement learning and stochastic optimization [Texte électronique] : a unified framework for sequential decisions / Warren B Powell,...
Publication : Hoboken, N.J. : Wiley, copyright 2022
Description matérielle : 1 ressource dématérialisée
Note(s) : Notes bibliogr. Index
"The first step in sequential decision problems is to understand what decisions are
being made. It is surprising how often it is that people faced with complex problems,
which spans scientists in a lab to people trying to solve major health problems, are
not able to identify the decisions they face. We then want to find a method for making
decisions. There are at least 45 words in the English language that are equivalent
to "method for making a decision," but the one we have settled on is policy. The term
policy is very familiar to fields such as Markov decision processes and reinforcement
learning, but with a much narrower interpretation than we will use. Other fields do
not use the term at all. Designing effective policies will be the focus of most of
this book. Even more subtle is identifying the different sources of uncertainty. It
can be hard enough trying to identify potential decisions, but thinking about all
the random events that might affect whatever it is that you are managing, whether
it is reducing disease, managing inventories, or making investments, can seem like
a hopeless challenge"
La pagination de l'édition imprimée correspondante est de : XXXIV- 1099 p.
Sujet(s) : Apprentissage par renforcement (intelligence artificielle)
Prise de décision (statistique)
Analyse stochastique
Indice(s) Dewey :
519.6 (23e éd.) = Optimisation mathématique
Identifiants, prix et caractéristiques : ISBN 9781119815044. - ISBN 9781119815051
Identifiant de la notice : ark:/12148/cb472753008
Notice n° :
FRBNF47275300
(notice reprise d'un réservoir extérieur)
