EduGym: An Environment and Notebook Suite for Reinforcement Learning Education

arXiv:2311.10590v2 Announce Type: replace
Abstract: Due to the empirical success of reinforcement learning, an increasing number of students study the subject. However, from our practical teaching experience, we see students entering the field (bachelor, master and early PhD) often struggle. On the one hand, textbooks and (online) lectures provide the fundamentals, but students find it hard to translate between equations and code. On the other hand, public codebases do provide practical examples, but the implemented algorithms tend to be complex, …

arxiv cs.ai cs.cy cs.lg education environment notebook reinforcement reinforcement learning stat.ml type