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pro vyhledávání: '"Krolikowski, Michal"'
Autor:
Alshahwan, Nadia, Blasi, Arianna, Bojarczuk, Kinga, Ciancone, Andrea, Gucevska, Natalija, Harman, Mark, Schellaert, Simon, Harper, Inna, Jia, Yue, Królikowski, Michał, Lewis, Will, Martac, Dragos, Rojas, Rubmary, Ustiuzhanina, Kate
This paper reports the results of the deployment of Rich-State Simulated Populations at Meta for both automated and manual testing. We use simulated users (aka test users) to mimic user interactions and acquire state in much the same way that real us
Externí odkaz:
http://arxiv.org/abs/2403.15374
Autor:
Januszewski, Piotr, Olko, Mateusz, Królikowski, Michał, Świątkowski, Jakub, Andrychowicz, Marcin, Kuciński, Łukasz, Miłoś, Piotr
The growth of deep reinforcement learning (RL) has brought multiple exciting tools and methods to the field. This rapid expansion makes it important to understand the interplay between individual elements of the RL toolbox. We approach this task from
Externí odkaz:
http://arxiv.org/abs/2111.15382
Akademický článek
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Autor:
Pȩdzich, Zbigniew, Bućko, Mirosław M., Królikowski, Michał, Bakalarska, Małgorzata, Babiarz, Joanna
Publikováno v:
In Journal of the European Ceramic Society 2004 24(6):1053-1056
Australia’s terms of trade rose significantly over the eight years to 2011 12 following a period of relative constancy over the preceding 40 years. Australian Government fiscal projections from the 2010 11 Budget to the 2013 14 Budget, assumed that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1687::23459d009b11b92e3ed36a8daeed4164
https://hdl.handle.net/10419/210385
https://hdl.handle.net/10419/210385