neural networks research group
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Matthew Taylor
Matt's Ph.D. dissertation focused on transfer learning, a novel method for speeding up reinforcement learning through knowledge reuse. His dissertation received an honorable mention in the competition for the IFAAMAS-08 Victor Lesser Distinguished Dissertation Award. After UT, Matt moved to The University of Southern California to work with Milind Tambe as a post-doc, pursuing his interests in multi-agent systems.
Homepage:
http://teamcore.usc.edu/taylorm/
Demos
Simulated RoboCup Soccer2004
Publications
     [Expand to show all 24][Minimize]
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy Yunshu Du and Garrett Warnell and Assefaw Gebremedhin and Peter Stone and Matthew E. Taylor Neural Computing and Applications, May 2021. 2021
Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning Shimon Whiteson and Brian Tanner and Matthew E. Taylor and Peter Stone In {IEEE} Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), April... 2011
Flood Disaster Mitigation: A Real-world Challenge Problem for Multi-Agent Unmanned Surface Vehicles Paul Scerri and Balajee Kannan and Pras Velagapudi and Kate Macarthur and Peter Stone and Matthew E.... In Proceedings of the Autonomous Robots and Multirobot Systems workshop (at AAMAS-11), May 20... 2011
An Introduction to Inter-task Transfer for Reinforcement Learning Matthew E. Taylor and Peter Stone AI Magazine, 32(1):15--34, 2011. 2011
Transfer Learning for Reinforcement Learning on a Physical Robot Samuel Barrett and Matthew E. Taylor and Peter Stone In Ninth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning... 2010
Transfer Learning for Reinforcement Learning Domains: A Survey Matthew E. Taylor and Peter Stone Journal of Machine Learning Research, 10(1):1633-1685, 2009. 2009
Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning Shimon Whiteson and Matthew E. Taylor and Peter Stone Journal of Autonomous Agents and Multi-Agent Systems, 21(1):1-27, 2009. 2009
Generalized Domains for Empirical Evaluations in Reinforcement Learning Shimon Whiteson and Brian Tanner and Matthew E. Taylor and Peter Stone In ICML Workshop on Evaluation Methods for Machine Learning, June 2009. To appear.. 2009
Transferring Instances for Model-Based Reinforcement Learning Matthew E. Taylor and Nicholas K. Jong and Peter Stone In Machine Learning and Knowledge Discovery in Databases, Lecture Notes in Artificial Intelli... 2008
Autonomous Transfer for Reinforcement Learning Matthew E. Taylor and Gregory Kuhlmann and Peter Stone In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, Ma... 2008
Transfer Learning and Intelligence: an Argument and Approach Matthew E. Taylor and Gregory Kuhlmann and Peter Stone In Proceedings of the First Conference on Artificial General Intelligence, March 2008. 2008
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning Matthew E. Taylor and Peter Stone and Yaxin Liu Journal of Machine Learning Research, 8(1):2125-2167, 2007. 2007
Empirical Studies in Action Selection for Reinforcement Learning Shimon Whiteson and Matthew E. Taylor and Peter Stone Adaptive Behavior, 15(1):33-50, March 2007. 2007
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison Matthew E. Taylor and Shimon Whiteson and Peter Stone In Proceedings of the Twenty-Second Conference on Artificial Intelligence, 1675-1678, July 2... 2007
Cross-Domain Transfer for Reinforcement Learning Matthew E. Taylor and Peter Stone In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007. 2007
Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning Matthew E. Taylor and Shimon Whiteson and Peter Stone In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Sy... 2007
IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks Mazda Ahmadi and Matthew E. Taylor and Peter Stone In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, May... 2007
Representation Transfer for Reinforcement Learning Matthew E. Taylor and Peter Stone In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning ... 2007
Accelerating Search with Transferred Heuristics Matthew E. Taylor and Gregory Kuhlmann and Peter Stone In ICAPS-07 workshop on AI Planning and Learning, September 2007. 2007
Adaptive Tile Coding for Value Function Approximation Shimon Whiteson and Matthew E. Taylor and Peter Stone Technical Report AI-TR-07-339, University of Texas at Austin, 2007. 2007
Keepaway Soccer: From Machine Learning Testbed to Benchmark Peter Stone and Gregory Kuhlmann and Matthew E. Taylor and Yaxin Liu In Itsuki Noda and Adam Jacoff and Ansgar Bredenfeld and Yasutake Takahashi, editors, RoboCup-200... 2006
Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning Matthew Taylor and Shimon Whiteson and Peter Stone In Proceedings of the Genetic and Evolutionary Computation Conference, 1321-28, July 2006. 2006
Value Functions for RL-Based Behavior Transfer: A Comparative Study Matthew E. Taylor and Peter Stone and Yaxin Liu In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005. 2005
Behavior Transfer for Value-Function-Based Reinforcement Learning Matthew E. Taylor and Peter Stone In Frank Dignum and Virginia Dignum and Sven Koenig and Sarit Kraus and Munindar P. Singh and Michae... 2005
Areas of Interest
Robotics
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