A policy improvement algorithm for solving a mixture class of perfect information and AR-AT semi-Markov games
P. Mondal, S.K. Neogy, A. Gupta, D. Ghorui
| Year of publication: |
2020
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|---|---|
| Authors: | Mondal, Prasenjit ; Neogy, S. K. ; Gupta, A. ; Ghorui, D. |
| Published in: |
International game theory review. - [River Edge], NJ [u.a.] : World Scientific, ISSN 0219-1989, ZDB-ID 1500913-0. - Vol. 22.2020, 2, p. 1-19
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| Subject: | Semi-Markov games | perfect information | AR-AT | optimal pure stationary strategies | policy improvement algorithm | Spieltheorie | Game theory | Algorithmus | Algorithm | Vollkommene Information | Complete information | Markov-Kette | Markov chain | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S0219198920400083 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012582570