Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Hubert Soyer"'
Autor:
Wojciech Marian Czarnecki, Matteo Hessel, Lasse Espeholt, Hubert Soyer, Hado van Hasselt, Simon Schmitt
Publikováno v:
AAAI
The reinforcement learning (RL) community has made great strides in designing algorithms capable of exceeding human performance on specific tasks. These algorithms are mostly trained one task at the time, each new task requiring to train a brand new
Autor:
Demis Hassabis, Raia Hadsell, Stephen Gaffney, Ross Goroshin, Timothy P. Lillicrap, Charles Beattie, Helen King, Caswell Barry, Piotr Mirowski, Neil C. Rabinowitz, Charles Blundell, Benigno Uria, Andrea Banino, Koray Kavukcuoglu, Joseph Modayil, Alexander Pritzel, Amir Sadik, Thomas Degris, Greg Wayne, Dharshan Kumaran, Stig Petersen, Brian Hu Zhang, Fabio Viola, Martin J. Chadwick, Razvan Pascanu, Hubert Soyer
Publikováno v:
Nature. 557:429-433
Deep neural networks have achieved impressive successes in fields ranging from object recognition to complex games such as Go1,2. Navigation, however, remains a substantial challenge for artificial agents, with deep neural networks trained by reinfor
Autor:
Dhruva Tirumala, Dharshan Kumaran, Matthew Botvinick, Zeb Kurth-Nelson, Demis Hassabis, Hubert Soyer, Jane X. Wang, Joel Z. Leibo
Publikováno v:
Nature Neuroscience
Over the past twenty years, neuroscience research on reward-based learning has converged on a canonical model, under which the neurotransmitter dopamine ‘stamps in’ associations between situations, actions and rewards by modulating the strength o
Publikováno v:
HLT-NAACL
We present an interactive web-based writing assistance system that is based on recent advances in crosslingual compositional distributed semantics. Given queries in Japanese or English, our system can retrieve semantically related sentences from high
Publikováno v:
Neural Information Processing ISBN: 9783319126425
ICONIP (3)
ICONIP (3)
We present a computationally efficient architecture for image super-resolution that achieves state-of-the-art results on images with large spatial extend. Apart from utilizing Convolutional Neural Networks, our approach leverages recent advances in f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2e3ca60e977b43b0c9b00b07ef927b5
https://doi.org/10.1007/978-3-319-12643-2_31
https://doi.org/10.1007/978-3-319-12643-2_31
Publikováno v:
Studies in health technology and informatics. 169
For the assessment of physical activity, motion sensors have become increasingly important. To assure a high accuracy of the generated sensor data, the measurement error of these devices needs to be determined. Sensor variability has been assessed wi
Autor:
Conlon, Nicholas1 (AUTHOR) nicholas.conlon@colorado.edu, Ahmed, Nisar R.1 (AUTHOR) nisar.ahmed@colorado.edu, Szafir, Daniel2 (AUTHOR) daniel.szafir@cs.unc.edu
Publikováno v:
ACM Computing Surveys. Jul2024, Vol. 56 Issue 7, p1-31. 31p.
Autor:
Heuillet, Alexandre1 (AUTHOR) alexandre.heuillet@univ-evry.fr, Nasser, Ahmad2 (AUTHOR) ahmad.nasser@universite-paris-saclay.fr, Arioui, Hichem2 (AUTHOR) hichem.arioui@univ-evry.fr, Tabia, Hedi2 (AUTHOR) hedi.tabia@univ-evry.fr
Publikováno v:
ACM Computing Surveys. Nov2024, Vol. 56 Issue 11, p1-36. 36p.
Autor:
Novo, Alvaro1 (AUTHOR) martineznovo@ugr.es, Lobon, Francisco2 (AUTHOR) flobon@iaa.es, Garcia de Marina, Hector1 (AUTHOR) hgdemarina@ugr.es, Romero, Samuel1 (AUTHOR) sromero@ugr.es, Barranco, Francisco1 (AUTHOR) fbarranco@ugr.es
Publikováno v:
ACM Computing Surveys. Oct2024, Vol. 56 Issue 10, p1-37. 37p.
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Sep2024, Vol. 18 Issue 8, p1-42, 42p