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Active Learning of Mealy Machines with Timers
March 5, 2024, 2:44 p.m. | V\'eronique Bruy\`ere, Bharat Garhewal, Guillermo A. P\'erez, Ga\"etan Staquet, Frits W. Vaandrager
cs.LG updates on arXiv.org arxiv.org
Abstract: We present the first algorithm for query learning of a general class of Mealy machines with timers (MMTs) in a black-box context. Our algorithm is an extension of the L# algorithm of Vaandrager et al. to a timed setting. Like the algorithm for learning timed automata proposed by Waga, our algorithm is inspired by ideas of Maler & Pnueli. Based on the elementary languages of, both Waga's and our algorithm use symbolic queries, which are …
abstract active learning algorithm arxiv box class context cs.fl cs.lg extension general machines query the algorithm type
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