Shimon Whiteson

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Jakob FoersterResearch Scientist, Facebook AI ResearchVerified email at fb.com
Gregory FarquharDeepMindVerified email at google.com
Frans A. OliehoekAssociate Professor at Delft University of TechnologyVerified email at tudelft.nl
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
Diederik M. RoijersVrije Universiteit Brussel (VUB) & HU University of Applied Sciences UtrechtVerified email at ai.vub.ac.be
Matthijs T. J. SpaanDelft University of TechnologyVerified email at tudelft.nl
Yannis AssaelResearch Scientist, Google DeepMindVerified email at google.com
Kyriacos ShiarlisWaymoVerified email at google.com
Nantas NardelliPhD Student, University of OxfordVerified email at robots.ox.ac.uk
Nando de FreitasCIFAR & DeepMindVerified email at google.com
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Tabish RashidUniversity of OxfordVerified email at cs.ox.ac.uk
Maximilian IglUniversity of OxfordVerified email at eng.ox.ac.uk
Christian Schroeder de WittUniversity of OxfordVerified email at robots.ox.ac.uk
Matthew E. TaylorAssociate Professor, University of AlbertaVerified email at ualberta.ca
Wendelin BöhmerAlgorithmics Group, Delft University of TechnologyVerified email at tudelft.nl
Vitaly KurinMachine Learning PhD student at the University of Oxford, Whiteson Research labVerified email at cs.ox.ac.uk
Luisa M ZintgrafUniversity of OxfordVerified email at cs.ox.ac.uk
Tim RocktäschelResearch Scientist at Facebook AI Research, Lecturer at University College LondonVerified email at cs.ucl.ac.uk

Shimon Whiteson

Professor of Computer Science, University of Oxford / Head of Research, Waymo UK

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 JN Foerster, YM Assael, N De Freitas, S Whiteson arXiv preprint arXiv:1605.06676, 2016	725	2016
Counterfactual multi-agent policy gradients J Foerster, G Farquhar, T Afouras, N Nardelli, S Whiteson Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	616	2018
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	367	2014
Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning T Rashid, M Samvelyan, C Schroeder, G Farquhar, J Foerster, S Whiteson International Conference on Machine Learning, 4295-4304, 2018	331	2018
Stabilising experience replay for deep multi-agent reinforcement learning J Foerster, N Nardelli, G Farquhar, T Afouras, PHS Torr, P Kohli, ... International conference on machine learning, 1146-1155, 2017	327	2017
Evolutionary Function Approximation for Reinforcement Learning S Whiteson, P Stone Journal of Machine Learning Research 7, 877-917, 2006	320	2006
Learning with opponent-learning awareness JN Foerster, RY Chen, M Al-Shedivat, S Whiteson, P Abbeel, I Mordatch arXiv preprint arXiv:1709.04326, 2017	244	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	188	2008
Lipnet: End-to-end sentence-level lipreading YM Assael, B Shillingford, S Whiteson, N De Freitas arXiv preprint arXiv:1611.01599, 2016	164	2016
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	148	2009
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	132	2013
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	130	2008
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	126	2007
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	125	2005
Evolving soccer keepaway players through task decomposition S Whiteson, N Kohl, R Miikkulainen, P Stone Machine Learning 59 (1-2), 5-30, 2005	122	2005
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	120	2011
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	120	2006
Adaptive tile coding for value function approximation S Whiteson	109	2007
Lipnet: Sentence-level lipreading YM Assael, B Shillingford, S Whiteson, N de Freitas arXiv preprint arXiv:1611.01599 2 (4), 2016	107	2016
Fast context adaptation via meta-learning L Zintgraf, K Shiarli, V Kurin, K Hofmann, S Whiteson International Conference on Machine Learning, 7693-7702, 2019	105	2019

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