Satisficing in time-sensitive bandit learning
Daniel Russo, Benjamin Van Roy
| Year of publication: |
2022
|
|---|---|
| Authors: | Russo, Daniel ; Van Roy, Benjamin |
| Published in: |
Mathematics of operations research. - Hanover, Md. : INFORMS, ISSN 1526-5471, ZDB-ID 2004273-5. - Vol. 47.2022, 4, p. 2815-2839
|
| Subject: | bandit learning | information theory | online optimization | rate-distortion theory | satisficing | Thompson sampling | Theorie | Theory | Begrenzte Rationalität | Bounded rationality | Lernprozess | Learning process | Lernen | Learning | Stichprobenerhebung | Sampling |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/moor.2021.1229 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014311390