Monte Carlo fictitious play for finding pure Nash equilibria in identical interest games
Seksan Kiatsupaibul, Giulia Pedrielli, Christopher Thomas Ryan, Robert L. Smith, Zelda B. Zabinsky
| Year of publication: |
2024
|
|---|---|
| Authors: | Kiatsupaibul, Seksan ; Pedrielli, Giulia ; Ryan, Christopher Thomas ; Smith, Robert L. ; Zabinsky, Zelda B. |
| Published in: |
INFORMS journal on optimization. - Catonsville, Md. : INFORMS, ISSN 2575-1492, ZDB-ID 2957493-6. - Vol. 6.2024, 3/4, p. 155-172
|
| Subject: | equilibrium computation | fictitious play | game theory | game-theoretic learning algorithms | optimal equilibria | Spieltheorie | Game theory | Lernprozess | Learning process | Nash-Gleichgewicht | Nash equilibrium | Gleichgewichtstheorie | Equilibrium theory | Algorithmus | Algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/ijoo.2021.0024 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015191170