Search results for "Matthew E. Taylor"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Matthew E. Taylor, Manish Jain, Prateek Tandon, Makoto Yokoo, Milind Tambe	Distributed on-Line Multi-Agent Optimization under Uncertainty: Balancing Exploration and Exploitation.	Advances in Complex Systems	2011	DBLP DOI BibTeX RDF
1	Frank Schweitzer, Matthew E. Taylor	Editorial: Agents and Multi-Agent Systems.	Advances in Complex Systems	2011	DBLP DOI BibTeX RDF
1	Matthew E. Taylor, Peter Stone	An Introduction to Intertask Transfer for Reinforcement Learning.	AI Magazine	2011	DBLP BibTeX RDF
1	Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas	Transfer Learning via Multiple Inter-task Mappings.	EWRL	2011	DBLP DOI BibTeX RDF
1	Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe	Towards Addressing Model Uncertainty: Robust Execution-Time Coordination for Teamwork.	IAT	2011	DBLP DOI BibTeX RDF
1	Haitham Bou-Ammar, Matthew E. Taylor	Reinforcement Learning Transfer via Common Subspaces.	ALA	2011	DBLP DOI BibTeX RDF
1	Paul Scerri, Balajee Kannan, Prasanna Velagapudi, Kate Macarthur, Peter Stone, Matthew E. Taylor, John Dolan, Alessandro Farinelli, Archie C. Chapman, Bernadine Dias, George Kantor	Flood Disaster Mitigation: A Real-World Challenge Problem for Multi-agent Unmanned Surface Vehicles.	AAMAS Workshops	2011	DBLP DOI BibTeX RDF
1	Jason Tsai, Natalie Fridman, Emma Bowring, Matthew Brown, Shira Epstein, Gal A. Kaminka, Stacy Marsella, Andrew Ogden, Inbal Rika, Ankur Sheel, Matthew E. Taylor, Xuezhi Wang, Avishay Zilka, Milind Tambe	ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison.	AAMAS	2011	DBLP BibTeX RDF
1	Matthew E. Taylor, Brian Kulis, Fei Sha	Metric learning for reinforcement learning agents.	AAMAS	2011	DBLP BibTeX RDF
1	Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe	Teamwork in distributed POMDPs: execution-time coordination under model uncertainty.	AAMAS	2011	DBLP BibTeX RDF
1	Matthew E. Taylor, Halit Bener Suay, Sonia Chernova	Integrating reinforcement learning with human demonstrations of varying ability.	AAMAS	2011	DBLP BibTeX RDF
1	Matthew Edmund Taylor, Halit Bener Suay, Sonia Chernova	Using Human Demonstrations to Improve Reinforcement Learning.	AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration	2011	DBLP BibTeX RDF
1	Matthew E. Taylor, Christopher Kiekintveld, Craig Western, Milind Tambe	A Framework for Evaluating Deployed Security Systems: Is There a Chink in your ARMOR?	Informatica (Slovenia)	2010	DBLP BibTeX RDF
1	Shimon Whiteson, Matthew E. Taylor, Peter Stone	Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning.	Autonomous Agents and Multi-Agent Systems	2010	DBLP BibTeX RDF
1	Matthew E. Taylor, Karl Tuyls (eds.)	Adaptive and Learning Agents, Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009, Revised Selected Papers	ALA	2010	DBLP BibTeX RDF
1	Matthew E. Taylor, Manish Jain, Yanquin Jin, Makoto Yokoo, Milind Tambe	When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty.	AAMAS	2010	DBLP DOI BibTeX RDF
1	Matthew E. Taylor, Katherine E. Coons, Behnam Robatmili, Bertrand A. Maher, Doug Burger, Kathryn S. McKinley	Evolving Compiler Heuristics to Manage Communication and Contention.	AAAI	2010	DBLP BibTeX RDF
1	Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe	Teamwork and Coordination under Model Uncertainty in DEC-POMDPs.	Interactive Decision Theory and Game Theory	2010	DBLP BibTeX RDF
1	Matthew E. Taylor, Peter Stone	Transfer Learning for Reinforcement Learning Domains: A Survey.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Ron Zhou	AAAI 2008 Workshop Reports.	AI Magazine	2009	DBLP BibTeX RDF
1	Matthew E. Taylor	Transfer in Reinforcement Learning Domains		2009	DBLP DOI BibTeX RDF
1	Manish Jain, Matthew E. Taylor, Milind Tambe, Makoto Yokoo	DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks.	IJCAI	2009	DBLP BibTeX RDF
1	Pradeep Varakantham, Jun-young Kwak, Matthew E. Taylor, Janusz Marecki, Paul Scerri, Milind Tambe	Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping.	ICAPS	2009	DBLP BibTeX RDF
1	Matthew E. Taylor	Assisting Transfer-Enabled Machine Learning Algorithms: Leveraging Human Knowledge for Curriculum Design.	AAAI Spring Symposium: Agents that Learn from Human Teachers	2009	DBLP BibTeX RDF
1	Marc J. V. Ponsen, Matthew E. Taylor, Karl Tuyls	Abstraction and Generalization in Reinforcement Learning: A Summary and Framework.	ALA	2009	DBLP DOI BibTeX RDF
1	Matthew E. Taylor, Nicholas K. Jong, Peter Stone	Transferring Instances for Model-Based Reinforcement Learning.	ECML/PKDD	2008	DBLP DOI BibTeX RDF
1	Katherine E. Coons, Behnam Robatmili, Matthew E. Taylor, Bertrand A. Maher, Doug Burger, Kathryn S. McKinley	Feature selection and policy optimization for distributed instruction placement using reinforcement learning.	PACT	2008	DBLP DOI BibTeX RDF	compiler heuristics, genetic algorithms, neural networks, machine learning, instruction scheduling
1	Matthew E. Taylor, Gregory Kuhlmann, Peter Stone	Transfer Learning and Intelligence: an Argument and Approach.	AGI	2008	DBLP BibTeX RDF
1	Matthew E. Taylor, Gregory Kuhlmann, Peter Stone	Autonomous transfer for reinforcement learning.	AAMAS	2008	DBLP DOI BibTeX RDF
1	Matthew E. Taylor, Peter Stone, Yaxin Liu	Transfer Learning via Inter-Task Mappings for Temporal Difference Learning.	Journal of Machine Learning Research	2007	DBLP BibTeX RDF
1	Matthew E. Taylor, Peter Stone	Cross-domain transfer for reinforcement learning.	ICML	2007	DBLP DOI BibTeX RDF
1	Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael J. Witbrock	Autonomous Classification of Knowledge into an Ontology.	FLAIRS Conference	2007	DBLP BibTeX RDF
1	Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael J. Witbrock	Guiding Inference with Policy Search Reinforcement Learning.	FLAIRS Conference	2007	DBLP BibTeX RDF
1	Matthew E. Taylor, Peter Stone	Towards reinforcement learning representation transfer.	AAMAS	2007	DBLP DOI BibTeX RDF
1	Matthew E. Taylor, Shimon Whiteson, Peter Stone	Transfer via inter-task mappings in policy search reinforcement learning.	AAMAS	2007	DBLP DOI BibTeX RDF
1	Mazda Ahmadi, Matthew E. Taylor, Peter Stone	IFSA: incremental feature-set augmentation for reinforcement learning tasks.	AAMAS	2007	DBLP DOI BibTeX RDF	reinforcement learning
1	Matthew E. Taylor, Peter Stone	Representation Transfer via Elaboration.	AAAI	2007	DBLP BibTeX RDF
1	Matthew E. Taylor	Autonomous Inter-Task Transfer in Reinforcement Learning Domains.	AAAI	2007	DBLP BibTeX RDF
1	Matthew E. Taylor, Shimon Whiteson, Peter Stone	Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison.	AAAI	2007	DBLP BibTeX RDF
1	Matthew E. Taylor, Shimon Whiteson, Peter Stone	Comparing evolutionary and temporal difference methods in a reinforcement learning domain.	GECCO	2006	DBLP DOI BibTeX RDF	genetic algorithms, machine learning, performance analysis, empirical study
1	Matthew E. Taylor, Peter Stone	Inter-Task Action Correlation for Reinforcement Learning Tasks.	AAAI	2006	DBLP BibTeX RDF
1	Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, Yaxin Liu	Keepaway Soccer: From Machine Learning Testbed to Benchmark.	RoboCup	2005	DBLP DOI BibTeX RDF
1	Matthew E. Taylor, Peter Stone	Behavior transfer for value-function-based reinforcement learning.	AAMAS	2005	DBLP DOI BibTeX RDF
1	Matthew E. Taylor, Peter Stone, Yaxin Liu	Value Functions for RL-Based Behavior Transfer: A Comparative Study.	AAAI	2005	DBLP BibTeX RDF

Publications of Matthew E. Taylor Matthew Edmund Taylor ( http://dblp.L3S.de/Authors/Matthew_E._Taylor )