Approximations for partially observed Markov decision processes

Name: Approximations for partially observed Markov decision processes
Author: Saldı, Naci, Linder, T., Yüksel, S.

İsim	Approximations for partially observed Markov decision processes
Yazar	Saldı, Naci, Linder, T., Yüksel, S.
Basım Tarihi:	2018
Basım Yeri	- Birkhäuser Basel
Tür	Kitap
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2324-9749, 978-3-319-79032-9
Kayıt Numarası	9f76c78b-ca7e-41a9-9e86-3aa147c72d6b
Lokasyon	Natural and Mathematical Sciences
Tarih	2018
Örnek Metin	This chapter studies the finite-model approximation of discrete-time partially observed Markov decision process. We will find that by performing the standard reduction method, where one transforms a partially observed model to a belief-based fully observed model, we can apply and properly generalize the results in the preceding chapters to obtain approximation results. The versatility of approximation results under weak continuity conditions become particularly evident while investigating the applicability of these results to the partially observed case. We also provide systematic procedures for the quantization of the set of probability measures on the state space of POMDPs which is the state space of belief-MDPs.
DOI	10.1007/978-3-319-79033-6_5

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Approximations for partially observed Markov decision processes

Yazar Saldı, Naci, Linder, T., Yüksel, S.

Basım Tarihi 2018

Basım Yeri - Birkhäuser Basel

Tür Kitap

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2324-9749, 978-3-319-79032-9

Kayıt Numarası 9f76c78b-ca7e-41a9-9e86-3aa147c72d6b

Lokasyon Natural and Mathematical Sciences

Tarih 2018

Örnek Metin This chapter studies the finite-model approximation of discrete-time partially observed Markov decision process. We will find that by performing the standard reduction method, where one transforms a partially observed model to a belief-based fully observed model, we can apply and properly generalize the results in the preceding chapters to obtain approximation results. The versatility of approximation results under weak continuity conditions become particularly evident while investigating the applicability of these results to the partially observed case. We also provide systematic procedures for the quantization of the set of probability measures on the state space of POMDPs which is the state space of belief-MDPs.

DOI 10.1007/978-3-319-79033-6_5