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pro vyhledávání: '"van de Wiele, Tom"'
Autor:
De Pessemier, Britta, López, Celia Díez, Taelman, Steff, Verdonck, Merel, Chen, Yang, Stockman, Annelies, Lambert, Jo, Van de Wiele, Tom, Callewaert, Chris
Publikováno v:
In Journal of Investigative Dermatology July 2024
Applying Q-learning to high-dimensional or continuous action spaces can be difficult due to the required maximization over the set of possible actions. Motivated by techniques from amortized inference, we replace the expensive maximization over all a
Externí odkaz:
http://arxiv.org/abs/2001.08116
Akademický článek
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Autor:
Wang, Shaokang, De Paepe, Kim, Van de Wiele, Tom, Fu, Xiong, Wang, Shujun, Zhang, Bin, Huang, Qiang
Publikováno v:
In Food Research International October 2023 172
Autor:
Hansen, Steven, Dabney, Will, Barreto, Andre, Van de Wiele, Tom, Warde-Farley, David, Mnih, Volodymyr
It has been established that diverse behaviors spanning the controllable subspace of an Markov decision process can be trained by rewarding a policy for being distinguishable from other policies \citep{gregor2016variational, eysenbach2018diversity, w
Externí odkaz:
http://arxiv.org/abs/1906.05030
Autor:
Onyango, Stanley O., Beerens, Koen, Li, Qiqiong, Van Camp, John, Desmet, Tom, Van de Wiele, Tom
Publikováno v:
In Food Chemistry 15 June 2023 411
Autor:
Li, Qiqiong, Stautemas, Jan, Omondi Onyango, Stanley, De Mey, Marjan, Duchi, Dries, Tuenter, Emmy, Hermans, Nina, Calders, Patrick, Van de Wiele, Tom
Publikováno v:
In Food Chemistry 15 May 2023 408
Autor:
da Silva Junior, Ediu Carlos, Babaahmadifooladi, Mehrnoosh, Folens, Karel, dos Reis, André Rodrigues, Guilherme, Luiz Roberto Guimarães, Van de Wiele, Tom, Jacxsens, Liesbeth, Du Laing, Gijs
Publikováno v:
In Journal of Food Composition and Analysis May 2023 118
Autor:
Warde-Farley, David, Van de Wiele, Tom, Kulkarni, Tejas, Ionescu, Catalin, Hansen, Steven, Mnih, Volodymyr
Learning to control an environment without hand-crafted rewards or expert data remains challenging and is at the frontier of reinforcement learning research. We present an unsupervised learning algorithm to train agents to achieve perceptually-specif
Externí odkaz:
http://arxiv.org/abs/1811.11359
Autor:
Cabezas-Terán, Katty, Grootaert, Charlotte, Ortiz, Johana, Donoso, Silvana, Ruales, Jenny, Van Bockstaele, Filip, Van Camp, John, Van de Wiele, Tom
Publikováno v:
In Food Research International February 2023 164