Stochastic control approach to the multi-armed bandit problems

<p>A multi-armed bandit is the simplest problem to study learning under uncertainty when decisions affect information. A standard approach to the multi-armed bandit often gives a heuristic construction of an algorithm and proves its regret bound. Following a constructive approach, it is often...

Description complète

Détails bibliographiques
Auteur principal: Treetanthiploet, T
Autres auteurs: Cohen, S
Format: Thèse
Langue:English
Publié: 2021
Sujets:

Documents similaires