Matthew E. Taylor's Publications

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Classified by Publication Type

• Journal Article • Dissertation • Book Chapter • Refereed Conference • Refereed Workshop or Symposium • Other •

Journal Article

1. Matthew E. Taylor, Peter Stone, and Yaxin Liu. Transfer Learning via Inter-Task Mappings for Temporal Difference Learning. Journal of Machine Learning Research, 8(1):2125–2167, 2007.
   Details     Download: [pdf] (499.9kB )  [ps] (831.3kB )  


2. Shimon Whiteson, Matthew E. Taylor, and Peter Stone. Empirical Studies in Action Selection for Reinforcement Learning. Adaptive Behavior, 15(1), 2007.
   Details     Download: [pdf] (828.6kB )  [ps] (1.5MB )  

Dissertation

1. Matthew E. Taylor. Autonomous Inter-Task Transfer in Reinforcement Learning Domains. Ph.D. Thesis, Department of Computer Sciences, The University of Texas at Austin, 2008. Available as Technical Report UT-AI-TR-08-5.
   Details     Download: [pdf] (2.3MB )  [ps] (4.6MB )  

Book Chapter

1. Peter Stone, Gregory Kuhlmann, Matthew E. Taylor, and Yaxin Liu. Keepaway Soccer: From Machine Learning Testbed to Benchmark. In Itsuki Noda, Adam Jacoff, Ansgar Bredenfeld, and Yasutake Takahashi, editors, RoboCup-2005: Robot Soccer World Cup IX, pp. 93–105, Springer Verlag, Berlin, 2006.
   Some simulations of keepaway referenced in the paper and keepaway software.
   Official version from Publisher's Webpage© Springer-Verlag
   Details     Download: [pdf] (567.7kB )  [ps] (2.3MB )  

Refereed Conference

1. Katherine K. Coons, Behnam Robatmili, Matthew E.  Taylor, Bertrand A. Maher, Kathryn McKinley, and and Doug Burger. Feature Selection and Policy Optimization for Distributed Instruction Placement Using Reinforcement Learning. In Proceedings of the Seventh International Joint Conference on Parallel Architectures and Compilation Techniques (PACT), October 2008.
   PACT-2008
   Details     Download: [pdf] (258.8kB )  [ps] (1.8MB )  


2. Matthew E. Taylor, Nicholas K. Jong, and Peter Stone. Transferring Instances for Model-Based Reinforcement Learning. In Proceedings of the European Conference on Machine Learning and Principles and Pratice of Knowledge Discovery in Databases (ECML PKDD), September 2008.
   ECML-2008
   Details     Download: [pdf] (304.9kB )  [ps] (860.1kB )  


3. Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. Autonomous Transfer for Reinforcement Learning. In The Seventh International Joint Conference on Autonomous Agents and Multiagent Systems, May 2008.
   AAMAS-2008
   Details     Download: [pdf] (233.7kB )  [ps] (409.6kB )  


4. Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. Transfer Learning and Intelligence: an Argument and Approach. In Proceedings of the First Conference on Artificial General Intelligence, March 2008.
   AGI-2008
   A video of talk is available here.
   Details     Download: [pdf] (149.0kB )  [ps] (202.5kB )  


5. Mazda Ahmadi, Matthew E. Taylor, and Peter Stone. IFSA: Incremental Feature-Set Augmentation for Reinforcement Learning Tasks. In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1120–1127, May 2007.
   Best Student Paper Nomination at AAMAS-2007.
   Details     Download: [pdf] (261.6kB )  [ps] (1.0MB )  


6. Matthew E. Taylor and Peter Stone. Cross-Domain Transfer for Reinforcement Learning. In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007.
   ICML-2007
   Details     Download: [pdf] (220.7kB )  [ps] (325.4kB )  


7. Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison. In Proceedings of the Twenty-Second Conference on Artificial Intelligence, pp. 1675–1678, July 2007. (Nectar Track)
   AAAI-2007
   Details     Download: [pdf] (99.7kB )  [ps] (190.4kB )  


8. Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning. In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 156–163, May 2007.
   AAMAS-2007
   Details     Download: [pdf] (222.5kB )  [ps] (525.2kB )  


9. Matthew E. Taylor and and Peter Stone. Towards Reinforcement Learning Representation Transfer. In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 683–685, May 2007.
   AAMAS-2007.
   Superseded by the symposium paper Representation Transfer for Reinforcement Learning.
   Details     Download: [pdf] (90.4kB )  [ps] (155.0kB )  


10. Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, and Michael Witbrock. Guiding Inference with Policy Search Reinforcement Learning. In The Twentieth International FLAIRS Conference, May 2007.
    FLAIRS-2007
    Details     Download: [pdf] (138.5kB )  [ps] (266.6kB )  


11. Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, and Michael Witbrock. Autonomous Classification of Knowledge into an Ontology. In The Twentieth International FLAIRS Conference, May 2007.
    FLAIRS-2007
    Details     Download: [pdf] (107.8kB )  [ps] (522.6kB )  


12. Matthew Taylor, Shimon Whiteson, and Peter Stone. Comparing Evolutionary and Temporal Difference Methods for Reinforcement Learning. In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1321–28, July 2006.
    Best Paper Award (Genetic Algorithms Track) at GECCO-2006.
    Details     Download: [pdf] (235.9kB )  [ps] (562.2kB )  


13. Matthew E. Taylor, Peter Stone, and Yaxin Liu. Value Functions for RL-Based Behavior Transfer: A Comparative Study. In Proceedings of the Twentieth National Conference on Artificial Intelligence, July 2005.
    AAAI-2005.
    Superseded by the journal article Transfer Learning via Inter-Task Mappings for Temporal Difference Learning.
    Details     Download: [pdf] (147.3kB )  [ps] (449.9kB )  


14. Matthew E. Taylor and Peter Stone. Behavior Transfer for Value-Function-Based Reinforcement Learning. In The Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 53–59, ACM Press, New York, NY, July 2005.
    AAMAS-2005.
    Superseded by the journal article Transfer Learning via Inter-Task Mappings for Temporal Difference Learning.
    Details     Download: [pdf] (230.4kB )  [ps] (620.1kB )  

Refereed Workshop or Symposium

1. Matthew E. Taylor, Nicholas K. Jong, and Peter Stone. Transferring Instances for Model-Based Reinforcement Learning. In The Adaptive Learning Agents and Multi-Agent Systems (ALAMAS+ALAG) workshop at AAMAS, May 2008.
   AAMAS 2008 workshop on Adaptive Learning Agents and Multi-Agent Systems
   Superseded by the ECML-08 conference paper Transferring Instances for Model-Based Reinforcement Learning.
   Details     Download: [pdf] (158.0kB )  [ps] (299.9kB )  


2. Matthew E. Taylor, Katherine E. Coons, Behnam Robatmili, Doug Burger, and Kathryn S. McKinley. Policy Search Optimization for Spatial Path Planning. In NIPS-07 workshop on Machine Learning for Systems Problems, December 2007. (Two page extended abstract.)
   NIPS 2007 workshop on Machine Learning for Systems Problems
   Superseded by the PACT-08 conference paper Using Reinforcement Learning to Select Policy Features for Distributed Instruction Placement.
   Details     Download: [pdf] (55.4kB )  [ps] (56.3kB )  


3. Matthew E. Taylor, Gregory Kuhlmann, and Peter Stone. Accelerating Search with Transferred Heuristics. In ICAPS-07 workshop on AI Planning and Learning, September 2007.
   ICAPS 2007 workshop on AI Planning and Learning
   Details     Download: [pdf] (139.9kB )  [ps] (215.4kB )  


4. Matthew E. Taylor and Peter Stone. Representation Transfer for Reinforcement Learning. In AAAI 2007 Fall Symposium on Computational Approaches to Representation Change during Learning and Development, November 2007.
   2007 AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development
   Details     Download: [pdf] (144.9kB )  [ps] (375.1kB )  


5. Matthew E. Taylor, Shimon Whiteson, and Peter Stone. Transfer Learning for Policy Search Methods. In ICML workshop on Structural Knowledge Transfer for Machine Learning, June 2006.
   ICML-2006 workshop on Structural Knowledge Transfer for Machine Learning.
   Superseded by the conference paper Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning.
   Details     Download: [pdf] (107.8kB )  [ps] (162.2kB )  


6. Shimon Whiteson, Matthew E. Taylor, and Peter Stone. Adaptive Tile Coding for Reinforcement Learning. In NIPS workshop on: Towards a New Reinforcement Learning?, December 2006.
   NIPS-2006 (Poster).
   Superseded by the technical report Adaptive Tile Coding for Value Function Approximation.
   Details     Download: [pdf] (492.7kB )  


7. Matthew E. Taylor and Peter Stone. Speeding up Reinforcement Learning with Behavior Transfer. In AAAI 2004 Fall Symposium on Real-life Reinforcement Learning, October 2004.
   Superseded by the journal article Transfer Learning via Inter-Task Mappings for Temporal Difference Learning.
   Details     Download: [pdf] (144.9kB )  [ps] (520.0kB )  

Other

1. Shimon Whiteson, Matthew E. Taylor, and Peter Stone. Adaptive Tile Coding for Value Function Approximation. Technical Report AI-TR-07-339, University of Texas at Austin, 2007.
   Details     Download: [pdf] (329.4kB )  [ps] (942.5kB )  

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