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Finite state approximation for a class of POMDPs and a comparison of reinforcement learning algorithms for energy storage management of renewable generation

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Identiferoai:union.ndltd.org:mcgill.ca/oai:escholarship.mcgill.ca:7d278x359
Date January 2015
CreatorsMannan, Mehnaz
ContributorsMahajan, Aditya (Internal/Supervisor)
PublisherMcGill University
Source SetsMcGill University
Languagehttp://id.loc.gov/vocabulary/iso639-2/eng
Detected LanguageEnglish
TypeThesis
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.
RelationPid: 132652

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