Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Valentin Dalibard"'
Autor:
Tom Schaul, David Silver, James Molloy, Junhyuk Oh, Katrina McKinney, Oriol Vinyals, David H. Choi, Junyoung Chung, Tobias Pohlen, Dani Yogatama, Tobias Pfaff, Demis Hassabis, Michael Mathieu, Dan Horgan, Ivo Danihelka, Igor Babuschkin, Dario Wünsch, Tom Le Paine, Yury Sulsky, Wojciech Marian Czarnecki, Rémi Leblond, Ziyu Wang, Andrew Dudzik, Trevor Cai, Chris Apps, Yuhuai Wu, David Budden, Valentin Dalibard, Timo Ewalds, Oliver Smith, John P. Agapiou, Aja Huang, Roman Ring, Petko Georgiev, Max Jaderberg, Koray Kavukcuoglu, Alexander Vezhnevets, Caglar Gulcehre, Manuel Kroiss, Laurent Sifre, Richard E. Powell, Timothy P. Lillicrap
Publikováno v:
Nature. 575:350-354
Many real-world applications require artificial agents to compete and coordinate with other agents in complex environments. As a stepping stone to this goal, the domain of StarCraft has emerged as an important challenge for artificial intelligence re
Autor:
Sagi Perel, Ang Li, David Budden, Valentin Dalibard, Tim Harley, Pramod Gupta, Chenjie Gu, Ola Spyra, Max Jaderberg
Publikováno v:
KDD
Population Based Training (PBT) is a recent approach that jointly optimizes neural network weights and hyperparameters which periodically copies weights of the best performers and mutates hyperparameters during training. Previous PBT implementations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c7596d67ebb76da7226bd41823a905f
http://arxiv.org/abs/1902.01894
http://arxiv.org/abs/1902.01894
Publikováno v:
WWW
Due to their complexity, modern systems expose many configuration parameters which users must tune to maximize performance. Auto-tuning has emerged as an alternative in which a black-box optimizer iteratively evaluates configurations to find efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1345c559c5e738de90803f05ade09eda
Autor:
Valentin Dalibard
Due to their complexity, modern computer systems expose many configuration parameters which users must manually tune to maximise the performance of their applications. To relieve users of this burden, auto-tuning has emerged as an alternative in whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6969566a5de036994557d917ae1463d9
Mining large graphs has now become an important aspect of many applications. Recent interest in low cost graph traversal on single machines has lead to the construction of systems that use solid state drives (SSDs) to store the graph. An SSD can be a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0050670f21e9a92c902b02f0d26387ba
Publikováno v:
SYSTOR
Mining large graphs has now become an important aspect of multiple diverse applications and a number of computer systems have been proposed to provide runtime support. Recent interest in this area has led to the construction of single machine graph c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b010c8bf35f2ebfbef7b9973e00816d6
https://infoscience.epfl.ch/record/198432
https://infoscience.epfl.ch/record/198432