Matthew E. Taylor - Google Scholar

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	All	Since 2015
Citations	5664	3759
h-index	37	30
i10-index	86	73

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Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Milind TambeDirector CRCS Center @Harvard; Director "AI for Social Good" @Google India ResearchVerified email at harvard.edu
Pablo Hernandez-LealResearcher - Borealis AIVerified email at borealisai.com
Bei PengPostdoctoral Researcher, University of OxfordVerified email at cs.ox.ac.uk
Tim BrysVrije Universiteit BrusselVerified email at vub.ac.be
Robert LoftinPhD Student, North Carolina State UniversityVerified email at ncsu.edu
Michael LittmanBrown UniversityVerified email at brown.edu
Shimon WhitesonProfessor of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
David L. RobertsAssociate Professor, Interim Director Digital Games Research center, North Carolina State UniversityVerified email at csc.ncsu.edu
James MacGlashanCogitaiVerified email at cogitai.com
Haitham Bou AmmarReinforcement Learning Team Leader @ Huawei LondonVerified email at huawei.com
Bilal KartalResearcherVerified email at cs.umn.edu
Nowe AnnGewoon hoogleraarVerified email at vub.be
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Sonia ChernovaAssociate Professor, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Gabriel V. de la Cruz Jr.North Idaho CollegeVerified email at nic.edu
Jun-young KwakSenior Engineering Manager @TinderVerified email at gotinder.com
Bener SuayLead Robotics Engineer, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Eric EatonUniversity of PennsylvaniaVerified email at cis.upenn.edu
Yunshu DuPhD Student of Computer ScienceVerified email at wsu.edu

Matthew E. Taylor

Associate Professor, University of Alberta

Verified email at ualberta.ca - Homepage

artificial intelligence intelligent agents multi-agent systems reinforcement learning robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Transfer learning for reinforcement learning domains: A survey. ME Taylor, P Stone Journal of Machine Learning Research 10 (7), 2009	1236	2009
Transfer learning via inter-task mappings for temporal difference learning ME Taylor, P Stone, Y Liu Journal of Machine Learning Research 8 (Sep), 2125-2167, 2007	216	2007
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison. J Tsai, N Fridman, E Bowring, M Brown, S Epstein, GA Kaminka, ... AAMAS, 457-464, 2011	186	2011
Cross-domain transfer for reinforcement learning ME Taylor, P Stone Proceedings of the 24th international conference on Machine learning, 879-886, 2007	175	2007
Keepaway soccer: From machine learning testbed to benchmark P Stone, G Kuhlmann, ME Taylor, Y Liu RoboCup 2005: Robot Soccer World Cup IX, 93-105, 2006	165	2006
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	124	2007
Behavior transfer for value-function-based reinforcement learning ME Taylor, P Stone Proceedings of the fourth international joint conference on Autonomous …, 2005	124	2005
Autonomous transfer for reinforcement learning. ME Taylor, G Kuhlmann, P Stone AAMAS (1), 283-290, 2008	122	2008
Online multi-task learning for policy gradient methods HB Ammar, E Eaton, P Ruvolo, M Taylor International conference on machine learning, 1206-1214, 2014	118	2014
Integrating reinforcement learning with human demonstrations of varying ability ME Taylor, HB Suay, S Chernova The 10th International Conference on Autonomous Agents and Multiagent …, 2011	117	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	117	2006
Reinforcement learning from demonstration through shaping T Brys, A Harutyunyan, HB Suay, S Chernova, ME Taylor, A Nowé Twenty-fourth international joint conference on artificial intelligence, 2015	114	2015
Transferring instances for model-based reinforcement learning ME Taylor, N Jong, P Stone Machine Learning and Knowledge Discovery in Databases, 488-505, 2008	114	2008
Adaptive tile coding for value function approximation S Whiteson	106	2007
Teaching on a budget: Agents advising agents in reinforcement learning L Torrey, M Taylor Proceedings of the 2013 international conference on Autonomous agents and …, 2013	97	2013
Value functions for RL-based behavior transfer: A comparative study ME Taylor, P Stone, Y Liu AAAI 5, 880-885, 2005	86	2005
A survey and critique of multiagent deep reinforcement learning P Hernandez-Leal, B Kartal, ME Taylor Autonomous Agents and Multi-Agent Systems 33 (6), 750-797, 2019	84*	2019
Interactive learning from policy-dependent human feedback J MacGlashan, MK Ho, R Loftin, B Peng, D Roberts, ME Taylor, ... 34th International Conference on Machine Learning (ICML-17), 2285-2294, 2017	82	2017
Exploiting coordination locales in distributed POMDPs via social model shaping P Varakantham, J Kwak, ME Taylor, J Marecki, P Scerri, M Tambe Proc. of ICAPS, 2009	76	2009
DCOPs meet the real world: Exploring unknown reward matrices with applications to mobile sensor networks M Jain, ME Taylor, M Tambe, M Yokoo Proceedings of the 21st international jont conference on Artifical …, 2009	69	2009

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