EduGym: An Environment and Notebook Suite for Reinforcement Learning Education
Thomas M. Moerland, Matthias M\"uller-Brockhausen, Zhao Yang, Andrius, Bernatavicius, Koen Ponse, Tom Kouwenhoven, Andreas Sauter, Michiel van der, Meer, Bram Renting, Aske Plaat

TL;DR
EduGym offers specialized reinforcement learning environments and interactive notebooks designed to enhance educational understanding by illustrating core challenges and solutions, bridging the gap between theory and practice.
Contribution
It introduces EduGym, a novel suite of environments and notebooks tailored for reinforcement learning education, simplifying complex concepts for students and researchers.
Findings
86% of users found EduGym useful for RL education
Provides environments illustrating key RL challenges
Connects equations and code effectively
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, and the underlying test environments contain multiple reinforcement learning challenges at once. Although this is realistic from a research perspective, it often hinders educational conceptual understanding. To solve this issue we introduce EduGym, a set of educational reinforcement learning environments and associated interactive notebooks tailored for education. Each EduGym environment is…
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Taxonomy
TopicsInnovative Approaches in Technology and Social Development · Educational Games and Gamification
MethodsSparse Evolutionary Training
