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pro vyhledávání: '"Shani, Guy"'
Autor:
Shani, Guy
Acting to complete tasks in stochastic partially observable domains is an important problem in artificial intelligence, and is often formulated as a goal-based POMDP. Goal-based POMDPs can be solved using the RTDP-BEL algorithm, that operates by runn
Externí odkaz:
http://arxiv.org/abs/2410.05870
Autor:
Blumenthal, Oded, Shani, Guy
Publikováno v:
EPTCS 391, 2023, pp. 89-101
Partially observable Markov decision processes (POMDP) are a useful model for decision-making under partial observability and stochastic actions. Partially Observable Monte-Carlo Planning is an online algorithm for deciding on the next action to perf
Externí odkaz:
http://arxiv.org/abs/2310.02345
Autor:
Li, Shuangning, Niell, Lluis Salvat, Choi, Sung Won, Nahum-Shani, Inbal, Shani, Guy, Murphy, Susan
Mobile health aims to enhance health outcomes by delivering interventions to individuals as they go about their daily life. The involvement of care partners and social support networks often proves crucial in helping individuals managing burdensome m
Externí odkaz:
http://arxiv.org/abs/2308.07843
Assessing microsatellite stability status of a patient's colorectal cancer is crucial in personalizing treatment regime. Recently, convolutional-neural-networks (CNN) combined with transfer-learning approaches were proposed to circumvent traditional
Externí odkaz:
http://arxiv.org/abs/2208.10429
In collaborative privacy preserving planning (CPPP), a group of agents jointly creates a plan to achieve a set of goals while preserving each others' privacy. During planning, agents often reveal the private dependencies between their public actions
Externí odkaz:
http://arxiv.org/abs/2102.07185
Autor:
Bernstein, Abraham, de Vreese, Claes, Helberger, Natali, Schulz, Wolfgang, Zweig, Katharina, Baden, Christian, Beam, Michael A., Hauer, Marc P., Heitz, Lucien, Jürgens, Pascal, Katzenbach, Christian, Kille, Benjamin, Klimkiewicz, Beate, Loosen, Wiebke, Moeller, Judith, Radanovic, Goran, Shani, Guy, Tintarev, Nava, Tolmeijer, Suzanne, van Atteveldt, Wouter, Vrijenhoek, Sanne, Zueger, Theresa
Publikováno v:
Dagstuhl Perspectives Workshop: Diversity, Fairness, and Data-Drives Personalization in (News) Recommender Systems, Dagstuhl Manifestos (2021), Vol. 9, Issue 1, pp. 43-61
News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Today, people increasingly rely on online content and recommender systems
Externí odkaz:
http://arxiv.org/abs/2005.09495
Publikováno v:
International Journal of Human-Computer Studies, Volume 130, October 2019, Pages 261-272
The prevalence of e-learning systems and on-line courses has made educational material widely accessible to students of varying abilities and backgrounds. There is thus a growing need to accommodate for individual differences in e-learning systems. T
Externí odkaz:
http://arxiv.org/abs/1907.12047
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Publikováno v:
In Expert Systems With Applications 1 May 2022 193
Akademický článek
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