Uncertainty quantification and exploration for reinforcement learning
Year of publication: |
2024
|
---|---|
Authors: | Dong, Jing ; Lam, Henry |
Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 72.2024, 4, p. 1689-1709
|
Subject: | reinforcement learning | Simulation | exploration policy | OCBA | statistical inference | Theorie | Theory | Lernen | Learning | Lernprozess | Learning process | Induktive Statistik | Statistical inference | Wahrscheinlichkeitsrechnung | Probability theory |
-
Shapley regressions : a framework for statistical inference on machine learning models
Joseph, Andreas, (2019)
-
Learning from inferred foregone payoffs
Wu, Hang, (2015)
-
Subjectivity in inductive inference
Gilboa, Itzhak, (2012)
- More ...
-
Pan, Qiyun, (2020)
-
A heavy traffic approach to modeling large life insurance portfolios
Blanchet, Jose, (2013)
-
Rare-event simulation for many-server queues
Blanchet, Jose, (2014)
- More ...