Bayesian Reinforcement Learning
Title: Bayesian Reinforcement Learning
SNIC Project: Berzelius-2022-170
Project Type: LiU Berzelius
Principal Investigator: Divya Grover <divya.grover@chalmers.se>
Affiliation: Chalmers tekniska högskola
Duration: 2022-10-01 – 2023-04-01
Classification: 10207
Homepage: https://scholar.google.co.in/citations?hl=en&user=0Gqji9cAAAAJ&view_op=list_works&sortby=pubdate
Keywords:

Abstract

Bayesian Reinforcement Learning (RL) is a field of research focusing on application of Bayesian methods to the field of RL to tackle the problem of "Exploration vs Exploitation" Current Deep RL methods have shown promising direction & their extension with Bayes methods will also enable them to be applicable to industry as safety can be quantified under such conditions.