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arXiv · 1911.11444

Control-Tutored Reinforcement Learning: an application to the Herding Problem

Francesco De Lellis·Fabrizia Auletta·Giovanni Russo·Mario di Bernardo
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Abstract

In this extended abstract we introduce a novel control-tutored Q-learning approach (CTQL) as part of the ongoing effort in developing model-based and safe RL for continuous state spaces. We validate our approach by applying it to a challenging multi-agent herding control problem.

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Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Mario di Bernardo. 2019-11-27. Control-Tutored Reinforcement Learning: an application to the Herding Problem. https://arxiv.org/abs/1911.11444

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