Shimon Whiteson - Google Scholar Citations

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Citations	6033	4386
h-index	43	34
i10-index	97	82

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Jakob FoersterResearch Scientist, Facebook AI ResearchVerified email at fb.com
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Gregory FarquharUniversity of OxfordVerified email at cs.ox.ac.uk
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
Matthijs T. J. SpaanDelft University of TechnologyVerified email at tudelft.nl
Yannis AssaelResearch Scientist, Google DeepMindVerified email at google.com
Matthew E. TaylorPrincipal Researcher at Borealis AIVerified email at eecs.wsu.edu
Nando de FreitasCIFAR & DeepMindVerified email at google.com
Nantas NardelliPhD Student, University of OxfordVerified email at robots.ox.ac.uk
Kyriacos ShiarlisPhD Student, Computer Science, University of AmsterdamVerified email at uva.nl
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Anne SchuthHead of News Data, DPG Media, The NetherlandsVerified email at dpgmedia.nl
Guangliang LiAssistant Professor, Department of Electronic Engineering, Ocean University of China, Qingdao, ChinaVerified email at ouc.edu.cn
Harm van SeijenUniversity of AlbertaVerified email at ualberta.ca
João MessiasLatent LogicVerified email at latentlogic.com
Hayley HungAssociate Professor, Delft University of TechnologyVerified email at tudelft.nl
Nikos VlassisSr Data Scientist, NetflixVerified email at netflix.com
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinVerified email at cs.utexas.edu

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


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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	447	2016
Counterfactual multi-agent policy gradients JN Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson Thirty-second AAAI conference on artificial intelligence, 2018	326	2018
Evolutionary Function Approximation for Reinforcement Learning S Whiteson, P Stone Journal of Machine Learning Research 7, 877-917, 2006	298	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	271	2014
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	210	2017
Lipnet: End-to-end sentence-level lipreading YM Assael, B Shillingford, S Whiteson, N De Freitas arXiv preprint arXiv:1611.01599, 2016	197	2016
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	160	2018
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	145	2008
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning T Rashid, M Samvelyan, CS De Witt, G Farquhar, J Foerster, S Whiteson arXiv preprint arXiv:2003.08839, 2020	136	2020
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	119	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	117	2007
Exploiting locality of interaction in factored Dec-POMDPs FA Oliehoek, MTJ Spaan, N Vlassis, S Whiteson Int. Joint Conf. on Autonomous Agents and Multi-Agent Systems, 517-524, 2008	114	2008
Evolving soccer keepaway players through task decomposition S Whiteson, N Kohl, R Miikkulainen, P Stone Machine Learning 59 (1-2), 5-30, 2005	113	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	111	2006
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	108	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	103	2011
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	102	2009
Adaptive tile coding for value function approximation S Whiteson	95	2007
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	81	2013
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	77	2014

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