Bayesian Reinforcement Learning
Title: Bayesian Reinforcement Learning
SNIC Project: Berzelius-2021-35
Project Type: LiU Berzelius
Principal Investigator: Divya Grover <divya.grover@chalmers.se>
Affiliation: Chalmers tekniska högskola
Duration: 2021-08-24 – 2021-10-01
Classification: 10207
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.