--- res: bibo_abstract: - 'Multiple-environment Markov decision processes (MEMDPs) are MDPs equipped with not one, but multiple probabilistic transition functions, which represent the various possible unknown environments. While the previous research on MEMDPs focused on theoretical properties for long-run average payoff, we study them with discounted-sum payoff and focus on their practical advantages and applications. MEMDPs can be viewed as a special case of Partially observable and Mixed observability MDPs: the state of the system is perfectly observable, but not the environment. We show that the specific structure of MEMDPs allows for more efficient algorithmic analysis, in particular for faster belief updates. We demonstrate the applicability of MEMDPs in several domains. In particular, we formalize the sequential decision-making approach to contextual recommendation systems as MEMDPs and substantially improve over the previous MDP approach.@eng' bibo_authorlist: - foaf_Person: foaf_givenName: Krishnendu foaf_name: Chatterjee, Krishnendu foaf_surname: Chatterjee foaf_workInfoHomepage: http://www.librecat.org/personId=2E5DCA20-F248-11E8-B48F-1D18A9856A87 orcid: 0000-0002-4561-241X - foaf_Person: foaf_givenName: Martin foaf_name: Chmelik, Martin foaf_surname: Chmelik foaf_workInfoHomepage: http://www.librecat.org/personId=3624234E-F248-11E8-B48F-1D18A9856A87 - foaf_Person: foaf_givenName: Deep foaf_name: Karkhanis, Deep foaf_surname: Karkhanis - foaf_Person: foaf_givenName: Petr foaf_name: Novotný, Petr foaf_surname: Novotný foaf_workInfoHomepage: http://www.librecat.org/personId=3CC3B868-F248-11E8-B48F-1D18A9856A87 - foaf_Person: foaf_givenName: Amélie foaf_name: Royer, Amélie foaf_surname: Royer foaf_workInfoHomepage: http://www.librecat.org/personId=3811D890-F248-11E8-B48F-1D18A9856A87 orcid: 0000-0002-8407-0705 bibo_volume: 30 dct_date: 2020^xs_gYear dct_isPartOf: - http://id.crossref.org/issn/23340835 - http://id.crossref.org/issn/23340843 dct_language: eng dct_publisher: Association for the Advancement of Artificial Intelligence@ dct_title: 'Multiple-environment Markov decision processes: Efficient analysis and applications@' ...