Teaching approach for deep reinforcement learning of robotic strategies
Janez Podobnik,
Ana Udir,
Marko Munih
et al.
Abstract:This paper presents the development of a teaching approach for Reinforcement Learning (RL) for students at the Faculty of Electrical Engineering, University of Ljubljana. The approach is designed to introduce students to the basic concepts, approaches, and algorithms of RL through examples and experiments in both simulation environments and on a real robot. The approach includes practical programs written in Python and presents various RL algorithms. The Q‐learning algorithm is introduced and a deep Q network … Show more
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