Matthew E. Taylor

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Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Pablo Hernandez-LealResearcher - Borealis AIVerified email at borealisai.com
Milind TambeDirector CRCS Center @Harvard; Director "AI for Social Good" @Google India ResearchVerified email at harvard.edu
Bei PengPostdoctoral Researcher, University of OxfordVerified email at cs.ox.ac.uk
Tim BrysAction Research AssociatesVerified email at actionresearchassociates.org
Bilal KartalSenior Deep Learning Scientist, NvidiaVerified email at cs.umn.edu
Robert LoftinPost-Doc, Microsoft Research CambridgeVerified email at ncsu.edu
Michael LittmanBrown UniversityVerified email at brown.edu
Haitham Bou AmmarReinforcement Learning Team Leader @ Huawei London & H. Assistant Professor @ UCLVerified email at huawei.com
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified 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
Nowe AnnGewoon hoogleraarVerified email at vub.be
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Gabriel V. de la Cruz Jr.Assistant Professor, North Idaho CollegeVerified email at nic.edu
Sonia ChernovaAssociate Professor, Georgia Institute of TechnologyVerified email at cc.gatech.edu
Yunshu DuPhD Student of Computer ScienceVerified email at wsu.edu
Bener SuayLead Robotics Engineer, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Anestis FachantidisPostdoctoral ResearcherVerified email at csd.auth.gr
Eric EatonUniversity of PennsylvaniaVerified email at cis.upenn.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


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Transfer learning for reinforcement learning domains: A survey. ME Taylor, P Stone Journal of Machine Learning Research 10 (7), 2009	1451	2009
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. ME Taylor, P Stone, Y Liu Journal of Machine Learning Research 8 (9), 2007	239	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	206	2011
Cross-domain transfer for reinforcement learning ME Taylor, P Stone Proceedings of the 24th international conference on Machine learning, 879-886, 2007	194	2007
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	177*	2019
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	171	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	138	2015
Autonomous transfer for reinforcement learning. ME Taylor, G Kuhlmann, P Stone AAMAS (1), 283-290, 2008	135	2008
Online multi-task learning for policy gradient methods HB Ammar, E Eaton, P Ruvolo, ME Taylor International conference on machine learning, 1206-1214, 2014	132	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	132	2011
Behavior transfer for value-function-based reinforcement learning ME Taylor, P Stone Proceedings of the fourth international joint conference on Autonomous …, 2005	132	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	126	2007
Transferring instances for model-based reinforcement learning ME Taylor, N Jong, P Stone Machine Learning and Knowledge Discovery in Databases, 488-505, 2008	124	2008
Teaching on a budget: Agents advising agents in reinforcement learning L Torrey, ME Taylor Proceedings of the 2013 international conference on Autonomous agents and …, 2013	123	2013
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	121	2006
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	114	2017
Adaptive tile coding for value function approximation S Whiteson, ME Taylor, P Stone	109	2007
Value functions for RL-based behavior transfer: A comparative study ME Taylor, P Stone, Y Liu AAAI 5, 880-885, 2005	87	2005
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	81	2009
Protecting against evaluation overfitting in empirical reinforcement learning S Whiteson, B Tanner, ME Taylor, P Stone 2011 IEEE symposium on adaptive dynamic programming and reinforcement …, 2011	79	2011

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