✦ LIBER ✦

On Markov Policies for Minimax Decision Processes

✍ Scribed by Seiichi Iwamoto; Kazuyoshi Tsurusaki; Toshiharu Fujita

Publisher: Elsevier Science
Year: 2001
Tongue: English
Weight: 150 KB
Volume: 253
Category: Article
ISSN: 0022-247X
DOI: 10.1006/jmaa.2000.7055

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Isotone optimal policies for structured

Isotone optimal policies for structured Markov decision processes

✍ D.J. White 📂 Article 📅 1981 🏛 Elsevier Science 🌐 English ⚖ 726 KB

On constrained Markov decision processes

✍ Moshe Haviv 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 330 KB

Strong 1-optimal stationary policies in

Strong 1-optimal stationary policies in denumerable Markov decision processes

✍ R. Cavazos-Cadena; J.B. Lasserre 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 530 KB

Minimizing Risk Models in Markov Decisio

Minimizing Risk Models in Markov Decision Processes with Policies Depending on Target Values

✍ Congbin Wu; Yuanlie Lin 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 143 KB

A New Class of Policies in Vector-Valued

A New Class of Policies in Vector-Valued Markov Decision Processes

✍ Kazuyoshi Wakuta 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 108 KB

For a vector-valued Markov decision process with discounted reward criterion, we introduce a new class of policies called the semi-stationary policies and show that an optimal semi-stationary policy that attains the extreme points of the set of rewards induced by all policies can be described as a c

Computational comparison of policy itera

Computational comparison of policy iteration algorithms for discounted markov decision processes

✍ R. Hartley; A.C. Lavercombe; L.C. Thomas 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 894 KB