Shimon Whiteson - Google Scholar Citations

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	All	Since 2014
Citations	4828	3542
h-index	39	32
i10-index	86	75

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Co-authors

Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Jakob FoersterResearch Scientist, Facebook AI ResearchVerified email at fb.com
Frans A. OliehoekAssociate Professor at Delft University of TechnologyVerified email at tudelft.nl
Diederik M. RoijersVrije Universiteit Brussel (VUB) & HU University of Applied Sciences UtrechtVerified email at ai.vub.ac.be
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
Gregory FarquharUniversity of OxfordVerified email at cs.ox.ac.uk
Matthew E. TaylorPrincipal Researcher at Borealis AIVerified email at eecs.wsu.edu
Matthijs T. J. SpaanDelft University of TechnologyVerified email at tudelft.nl
Yannis AssaelUniversity of OxfordVerified email at cs.ox.ac.uk
Nando de FreitasCIFAR & DeepMindVerified email at google.com
Anne SchuthLeading news personalisation at DPG Media, The NetherlandsVerified email at dpgmedia.nl
Nantas NardelliPhD Student, University of OxfordVerified email at robots.ox.ac.uk
Kyriacos ShiarlisPhD Student, Computer Science, University of AmsterdamVerified email at uva.nl
Harm van SeijenUniversity of AlbertaVerified email at ualberta.ca
Masrour ZoghiResearch & Machine Intelligence, GoogleVerified email at zoghi.org
Guangliang LiAssistant Professor, Department of Electronic Engineering, Ocean University of China, Qingdao, ChinaVerified email at ouc.edu.cn
João MessiasLatent LogicVerified email at latentlogic.com
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinVerified email at cs.utexas.edu
Nikos VlassisSr Data Scientist, NetflixVerified email at netflix.com
Hayley HungAssociate Professor, Delft University of TechnologyVerified email at tudelft.nl

Shimon Whiteson

Professor of Computer Science, University of Oxford

Verified email at cs.ox.ac.uk - Homepage

Artificial Intelligence Machine Learning Reinforcement Learning Decision-Theoretic Planning


Title	Cited by	Year
Learning to communicate with deep multi-agent reinforcement learning J Foerster, IA Assael, N de Freitas, S Whiteson Advances in Neural Information Processing Systems, 2137-2145, 2016	293	2016
Evolutionary Function Approximation for Reinforcement Learning S Whiteson, P Stone Journal of Machine Learning Research 7, 877-917, 2006	282	2006
A survey of multi-objective sequential decision-making DM Roijers, P Vamplew, S Whiteson, R Dazeley Journal of Artificial Intelligence Research 48, 67-113, 2014	218	2014
Counterfactual multi-agent policy gradients JN Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson Thirty-Second AAAI Conference on Artificial Intelligence, 2018	200	2018
Lipnet: End-to-end sentence-level lipreading YM Assael, B Shillingford, S Whiteson, N De Freitas arXiv preprint arXiv:1611.01599, 2016	152	2016
Stabilising experience replay for deep multi-agent reinforcement learning J Foerster, N Nardelli, G Farquhar, T Afouras, PHS Torr, P Kohli, ... Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	137	2017
Multiagent reinforcement learning for urban traffic control using coordination graphs L Kuyer, S Whiteson, B Bakker, N Vlassis Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008	123	2008
Automatic feature selection in neuroevolution S Whiteson, P Stone, KO Stanley, R Miikkulainen, N Kohl Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005	112	2005
Transfer via inter-task mappings in policy search reinforcement learning ME Taylor, S Whiteson, P Stone Proceedings of the 6th international joint conference on Autonomous agents …, 2007	111	2007
Evolving soccer keepaway players through task decomposition S Whiteson, N Kohl, R Miikkulainen, P Stone Machine Learning 59 (1-2), 5-30, 2005	109	2005
Comparing evolutionary and temporal difference methods in a reinforcement learning domain ME Taylor, S Whiteson, P Stone Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006	108	2006
Learning with opponent-learning awareness J Foerster, RY Chen, M Al-Shedivat, S Whiteson, P Abbeel, I Mordatch Proceedings of the 17th International Conference on Autonomous Agents and …, 2018	107	2018
Exploiting locality of interaction in factored Dec-POMDPs FA Oliehoek, MTJ Spaan, S Whiteson, N Vlassis Proceedings of the 7th international joint conference on Autonomous agents …, 2008	101	2008
Balancing exploration and exploitation in listwise and pairwise online learning to rank for information retrieval K Hofmann, S Whiteson, M de Rijke Information Retrieval 16 (1), 63-90, 2013	99	2013
A probabilistic method for inferring preferences from clicks K Hofmann, S Whiteson, M De Rijke Proceedings of the 20th ACM international conference on Information and …, 2011	97	2011
Adaptive tile coding for value function approximation S Whiteson, ME Taylor, P Stone Computer Science Department, University of Texas at Austin, 2007	93	2007
A theoretical and empirical analysis of Expected Sarsa H Van Seijen, H Van Hasselt, S Whiteson, M Wiering 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2009	85	2009
Reusing historical interaction data for faster online learning to rank for IR K Hofmann, A Schuth, S Whiteson, M de Rijke Proceedings of the sixth ACM international conference on Web search and data …, 2013	68	2013
Measurement of the top-quark mass with dilepton events selected using neuroevolution at CDF T Aaltonen, J Adelman, T Akimoto, MG Albrow, BÁ González, S Amerio, ... Physical review letters 102 (15), 152001, 2009	67	2009
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem M Zoghi, S Whiteson, R Munos, M de Rijke ICML 2014: Proceedings of the Thirty-First International Conference on …, 2014	66	2014

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