Skip to content

Latest commit

 

History

History
7 lines (6 loc) · 522 Bytes

File metadata and controls

7 lines (6 loc) · 522 Bytes

Applications of Concentration Inequalities in Distributional Reinforcement Learning

Overview

This repository contains the implementation, experiments, and generated figures for my Master's Thesis:
"Applications of Concentration Inequalities in Distributional Reinforcement Learning".
Link: View on TU Wien Repositum
The thesis explores how concentration inequalities can be applied to bound value distributions in Distributional RL.