Bayesian Reinforcement Learning
Title: |
Bayesian Reinforcement Learning |
DNr: |
Berzelius-2021-55 |
Project Type: |
LiU Berzelius |
Principal Investigator: |
Divya Grover <divya.grover@chalmers.se> |
Affiliation: |
Chalmers tekniska högskola |
Duration: |
2021-10-01 – 2022-04-01 |
Classification: |
10207 |
Keywords: |
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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.