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Partially Observable Markov Decision Processes (POMDPs) provide an efficient way to model real-world sequential decision making processes. Motivated by the problem of maintenance and inspection of a group of infrastructure components with independent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13f85b7293cd955403f353763ece3207
