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

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Nov 27, 2019
Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Mario di Bernardo
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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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