Reinforcement Learning Analysis Framework

Description

The aim of this project is to implement a framework that facilitates the development of RL solutions for real-world applications. This is necessary since the academic literature usually focuses on specific algorithms and approaches differ widely for different regions in the highly complex RL problem space. Especially, we systematically study the effectiveness of different RL approaches in the context of different simulation models.