Matthew Taylor
Ph.D. Alumni
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/
Publications
     [Expand to show all 24][Minimize]
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy 2021
Yunshu Du, Garrett Warnell, Assefaw Gebremedhin, Peter Stone, and Matthew E. Taylor, Neural Computing and Applications (2021).
An Introduction to Inter-task Transfer for Reinforcement Learning 2011
Matthew E. Taylor and Peter Stone, AI Magazine, Vol. 32, 1 (2011), pp. 15--34.
Flood Disaster Mitigation: A Real-world Challenge Problem for Multi-Agent Unmanned Surface Vehicles 2011
Paul Scerri, Balajee Kannan, Pras Velagapudi, Kate Macarthur, Peter Stone, Matthew E. Taylor, John Dolan, Alessandro Farinelli, Archie Chapman, Bernadine Dias, and George Kantor, In Proceedings of the Autonomous Robots and Multirobot Systems workshop (at AAMAS-11), May 2011.
Protecting Against Evaluation Overfitting in Empirical Reinforcement Learning 2011
Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone, In {IEEE} Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), April 2011.
Transfer Learning for Reinforcement Learning on a Physical Robot 2010
Samuel Barrett, Matthew E. Taylor, and Peter Stone, In Ninth International Conference on Autonomous Agents and Multiagent Systems - Adaptive Learning Agents Workshop (AAMAS - ALA), May 2010.
Critical Factors in the Empirical Performance of Temporal Difference and Evolutionary Methods for Reinforcement Learning 2009
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, Journal of Autonomous Agents and Multi-Agent Systems, Vol. 21, 1 (2009), pp. 1-27.
Generalized Domains for Empirical Evaluations in Reinforcement Learning 2009
Shimon Whiteson, Brian Tanner, Matthew E. Taylor, and Peter Stone, In ICML Workshop on Evaluation Methods for Machine Learning, June 2009. To appear..
Transfer Learning for Reinforcement Learning Domains: A Survey 2009
Matthew E. Taylor and Peter Stone, Journal of Machine Learning Research, Vol. 10, 1 (2009), pp. 1633-1685.
Autonomous Transfer for Reinforcement Learning 2008
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
Transfer Learning and Intelligence: an Argument and Approach 2008
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In Proceedings of the First Conference on Artificial General Intelligence, March 2008.
Transferring Instances for Model-Based Reinforcement Learning 2008
Matthew E. Taylor, Nicholas K. Jong, and Peter Stone, In Machine Learning and Knowledge Discovery in Databases, Vol. 5212, pp. 488-505, September 2008.
Accelerating Search with Transferred Heuristics 2007
Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone, In ICAPS-07 workshop on AI Planning and Learning, September 2007.
Adaptive Tile Coding for Value Function Approximation 2007
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, Technical Report AI-TR-07-339, University of Texas at Austin.
Cross-Domain Transfer for Reinforcement Learning 2007
Matthew E. Taylor and Peter Stone, In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007.
Empirical Studies in Action Selection for Reinforcement Learning 2007
Shimon Whiteson, Matthew E. Taylor, and Peter Stone, Adaptive Behavior, Vol. 15, 1 (2007), pp. 33-50.
IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks 2007
Mazda Ahmadi, 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 2007
Matthew E. Taylor and Peter Stone, In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning and Development, November 2007.
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison 2007
Matthew E. Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the Twenty-Second Conference on Artificial Intelligence, pp. 1675-1678, July 2007. Nectar Track.
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning 2007
Matthew E. Taylor, Peter Stone, and Yaxin Liu, Journal of Machine Learning Research, Vol. 8, 1 (2007), pp. 2125-2167.
Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning 2007
Matthew E. Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, May 2007.
Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning 2006
Matthew Taylor, Shimon Whiteson, and Peter Stone, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1321-28, July 2006.
Keepaway Soccer: From Machine Learning Testbed to Benchmark 2006
Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu, In RoboCup-2005: Robot Soccer World Cup IX, Itsuki Noda and Adam Jacoff and Ansgar Bredenfeld and Yasutake Takahashi (Eds.), Vol. 4020, pp. 93-105, Berlin 2006. Springer Verlag.
Behavior Transfer for Value-Function-Based Reinforcement Learning 2005
Matthew E. Taylor and Peter Stone, In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, Frank Dignum and Virginia Dignum and Sven Koenig and Sarit Kraus and Munindar P. Singh and Michael Woo...
Value Functions for RL-Based Behavior Transfer: A Comparative Study 2005
Matthew E. Taylor, Peter Stone, and Yaxin Liu, In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
Areas of Interest
Robotics
Demos
Simulated RoboCup Soccer2004
Labs
Formerly affiliated with Learning Agents