Thore Graepel

Citado por

	Total	Desde 2018
Citas	58744	46622
Índice h	71	52
Índice i10	172	127

10000

5000

2500

7500

200320042005200620072008200920102011201220132014201520162017201820192020202120222023162 165 249 293 345 336 426 401 509 540 767 991 1083 2012 2895 5233 6992 8009 8896 9199 8228

Coautores

Ralf HerbrichHasso Plattner InstituteDirección de correo verificada de hpi.de
Marc LanctotResearch Scientist, DeepMindDirección de correo verificada de google.com
David SilverDeepMind, UCLDirección de correo verificada de google.com
Laurent SifreGoogle DeepMindDirección de correo verificada de polytechnique.edu
Arthur GuezGoogle DeepMindDirección de correo verificada de google.com
Yoram BachrachDeepMindDirección de correo verificada de google.com
Joel Z LeiboResearch scientistDirección de correo verificada de google.com
Timothy P. LillicrapSenior Research Scientist, Google DeepMindDirección de correo verificada de google.com
Klaus ObermayerProfessor, Fakultät IV - Electrical Engineering and Computer Science, Technische Universität BerlinDirección de correo verificada de tu-berlin.de
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolDirección de correo verificada de google.com
Karen SimonyanCo-Founder and Chief Scientist at Inflection AIDirección de correo verificada de inflection.ai
Thomas HubertGoogle DeepmindDirección de correo verificada de google.com
Aja HuangDeepMindDirección de correo verificada de google.com
Chris J. MaddisonUniversity of TorontoDirección de correo verificada de cs.toronto.edu
Michal KosinskiStanford UniversityDirección de correo verificada de stanford.edu
David StillwellCambridge UniversityDirección de correo verificada de cam.ac.uk
koray kavukcuogluDeepMindDirección de correo verificada de kavukcuoglu.org
Matthew LaiDeepMindDirección de correo verificada de google.com
julien perolatDeepMindDirección de correo verificada de google.com
Pushmeet KohliDeepMindDirección de correo verificada de google.com

Seguir

Thore Graepel

Global Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCL

Dirección de correo verificada de ucl.ac.uk - Página principal

Machine Learning Reinforcement Learning Deep Learning Multi-Agent Learning Computational Biology


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Mastering the game of Go with deep neural networks and tree search D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ... nature 529 (7587), 484-489, 2016	17353	2016
Mastering the game of go without human knowledge D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ... nature 550 (7676), 354-359, 2017	9903	2017
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ... Science 362 (6419), 1140-1144, 2018	3813	2018
Private traits and attributes are predictable from digital records of human behavior M Kosinski, D Stillwell, T Graepel Proceedings of the national academy of sciences 110 (15), 5802-5805, 2013	3622	2013
Mastering chess and shogi by self-play with a general reinforcement learning algorithm D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ... arXiv preprint arXiv:1712.01815, 2017	1988	2017
Mastering atari, go, chess and shogi by planning with a learned model J Schrittwieser, I Antonoglou, T Hubert, K Simonyan, L Sifre, S Schmitt, ... Nature 588 (7839), 604-609, 2020	1890	2020
Large margin rank boundaries for ordinal regression R Herbrich Advances in large margin classifiers, 115-132, 2000	1447	2000
Value-decomposition networks for cooperative multi-agent learning P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ... arXiv preprint arXiv:1706.05296, 2017	1358	2017
TrueSkill™: a Bayesian skill rating system R Herbrich, T Minka, T Graepel Advances in neural information processing systems 19, 2006	999	2006
Human-level performance in 3D multiplayer games with population-based reinforcement learning M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ... Science 364 (6443), 859-865, 2019	833	2019
Multi-agent reinforcement learning in sequential social dilemmas JZ Leibo, V Zambaldi, M Lanctot, J Marecki, T Graepel arXiv preprint arXiv:1702.03037, 2017	824	2017
Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft's bing search engine T Graepel, JQ Candela, T Borchert, R Herbrich Omnipress 27, 13-20, 2010	708	2010
A unified game-theoretic approach to multiagent reinforcement learning M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Pérolat, D Silver, ... Advances in neural information processing systems 30, 2017	645	2017
Personality and patterns of Facebook usage Y Bachrach, M Kosinski, T Graepel, P Kohli, D Stillwell Proceedings of the 4th annual ACM web science conference, 24-32, 2012	629	2012
ML confidential: Machine learning on encrypted data T Graepel, K Lauter, M Naehrig International conference on information security and cryptology, 1-21, 2012	592	2012
Support vector learning for ordinal regression R Herbrich, T Graepel, K Obermayer IET Digital Library, 1999	570	1999
Manifestations of user personality in website choice and behaviour on online social networks M Kosinski, Y Bachrach, P Kohli, D Stillwell, T Graepel Machine learning 95, 357-380, 2014	422	2014
Matchbox: large scale online bayesian recommendations DH Stern, R Herbrich, T Graepel Proceedings of the 18th international conference on World wide web, 111-120, 2009	361	2009
Bayes point machines R Herbrich, T Graepel, C Campbell Journal of Machine Learning Research 1 (Aug), 245-279, 2001	326	2001
Generalization Bounds for the Area Under the ROC Curve. S Agarwal, T Graepel, R Herbrich, S Har-Peled, D Roth, MI Jordan Journal of Machine Learning Research 6 (4), 2005	303	2005

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores