Matthew E. Taylor's Publications
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Sorted by First Author Last Name
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Ahmadi
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Alfeld
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Barrett
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Coons
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Jain
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Kwak
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Ponsen
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Stone
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Taylor
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Tsai
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Varakantham
•
Whiteson
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Ahmadi
- 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
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[pdf]
(261.6kB
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[ps]
(1.0MB
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Alfeld
- Scott Alfeld, Matthew E. Taylor, Prateek Tandon, and Milind
Tambe. Towards a Theoretic Understanding of DCEE. In Proceedings of the Distributed Constraint Reasoning workshop
(at AAMAS-10), May 2010.
DCR-10
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[pdf]
(378.1kB
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[ps]
(2.3MB
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Barrett
- Samuel Barrett, Matthew E. Taylor, and Peter
Stone. Transfer Learning for Reinforcement Learning on a Physical Robot. In Proceedings of the Adaptive and
Learning Agents workshop (at AAMAS-10), May 2010.
ALA-10
Details
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[pdf]
(684.9kB
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[ps]
(5.7MB
)
Coons
- Katherine K. Coons, Behnam Robatmili,
Matthew E. Taylor, Bertrand A. Maher, Kathryn
McKinley, 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), pp. 32–42, October 2008.
PACT-2008
Details
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[pdf]
(297.8kB
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[ps]
(1.9MB
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Jain
- Manish Jain, Matthew E. Taylor,
Makoto Yokoo, and Milind Tambe.
DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks. In Proceedings
of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI), July 2009.
IJCAI-2009
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[pdf]
(250.8kB
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[ps]
(1.9MB
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- Manish Jain, Matthew E. Taylor,
Makoto Yokoo, and Milind Tambe.
DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks. In Proceedings
of the Third International Workshop on Agent Technology for Sensor Networks (at AAMAS-09), May 2009.
ATSN-2009
Superseded
by the IJCAI-09 conference paper DCOPs Meet
the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks.
Details
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(unavailable)
Kwak
- Jun-young Kwak, Pradeep
Varakantham, Matthew E. Taylor, Janusz
Marecki, Paul Scerri, and Milind
Tambe. Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping. In Proceedings of the
Fourth Workshop on Multi-agent Sequential Decision-Making in Uncertain Domains (at AAMAS-09), May 2009.
MSDM-2009
Details
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[pdf]
(449.4kB
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[ps]
(1.6MB
)
Ponsen
- Marc Ponsen, Matthew E. Taylor, and Karl
Tuyls. Abstraction and Generalization in Reinforcement Learning. In Matthew
E. Taylor and Karl Tuyls, editors, Adaptive Agents and Multi-Agent
Systems IV, pp. 1–33, Springer-Verlag, 2010.
Details
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[pdf]
(1.5MB
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[ps]
(11.0MB
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Stone
- 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
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[pdf]
(567.7kB
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[ps]
(2.3MB
)
Taylor
- Matthew E. Taylor. Transfer in Reinforcement Learning Domains,
Studies in Computational Intelligence, Springer-Verlag, 2009.
A book based on my PhD thesis.
Publisher's
Webpage.
Details
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(unavailable)
- Matthew E. Taylor and Karl
Tuyls, editors. Adaptive Agents and Multi-Agent Systems IV, Lecture Notes in Computer Science, Springer-Verlag,
2010.
Many chapters are extended versions of papers appearing at the AAMAS 2009 workshop on Adaptive
and Learning Agents. Publisher's website: http://www.springer.com/computer/ai/book/978-3-642-11813-5
Details
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(unavailable)
- 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
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[pdf]
(2.3MB
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[ps]
(4.6MB
)
- Matthew E. Taylor, Christopher
Kiekintveld, Craig Western, and Milind
Tambe. A Framework for Evaluating Deployed Security Systems: Is There a Chink in your ARMOR?. Informatica,
2010.
Details
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[pdf]
(402.6kB
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[ps]
(4.3MB
)
- 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
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[pdf]
(499.9kB
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[ps]
(831.3kB
)
- Matthew E. Taylor and Peter
Stone. Transfer Learning for Reinforcement Learning Domains: A Survey. Journal of Machine Learning Research,
10(1):1633–1685, 2009.
Details
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[pdf]
(399.8kB
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[ps]
(2.0MB
)
- Matthew E. Taylor, Katherine E.
Coons, Behnam Robatmili, Bertrand A. Maher, Doug
Burger, and Kathryn S. McKinley. Evolving Compiler Heuristics to Manage
Communication and Contention. In Proceedings of the Twenty-Fourth Conference on Artificial Intelligence,
July 2010. (Nectar Track)
AAAI-2010. This paper is based
on results presented in our earlier PACT-08 paper.
Details
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[pdf]
(127.8kB
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[ps]
(890.3kB
)
- Matthew E. Taylor, Manish Jain,
Yanquin Jin, Makoto Yooko, and Milind Tambe. When Should There be a "Me" in
"Team"? Distributed Multi-Agent Optimization Under Uncertainty. In International Conference on Autonomous Agents and
Multiagent Systems (AAMAS), May 2010.
Supplemental material is available at http://teamcore.usc.edu/dcop/.
Details
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[pdf]
(2.9MB
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[ps]
(1.5MB
)
- 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 Practice of Knowledge Discovery in Databases
(ECML PKDD), pp. 488–505, September 2008.
ECML-2008
Details
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[pdf]
(304.9kB
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[ps]
(860.1kB
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- 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, pp. 283–290,
May 2008.
AAMAS-2008
Details
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[pdf]
(233.7kB
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[ps]
(409.6kB
)
- 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
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[pdf]
(149.0kB
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[ps]
(202.5kB
)
- 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
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[pdf]
(220.7kB
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[ps]
(325.4kB
)
- 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
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[pdf]
(99.7kB
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[ps]
(190.4kB
)
- 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
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[pdf]
(222.5kB
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[ps]
(525.2kB
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- 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
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(unavailable)
- 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
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[pdf]
(138.5kB
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[ps]
(266.6kB
)
- 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
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[pdf]
(107.8kB
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[ps]
(522.6kB
)
- 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
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[pdf]
(235.9kB
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[ps]
(562.2kB
)
- 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
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[pdf]
(147.3kB
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[ps]
(449.9kB
)
- 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
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[pdf]
(230.4kB
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[ps]
(620.1kB
)
- Matthew E. Taylor and Sonia Chernova. Integrating Human Demonstration
and Reinforcement Learning: Initial Results in Human-Agent Transfer. In Proceedings of the Agents Learning Interactively
from Human Teachers workshop (at AAMAS-10), May 2010.
ALIHT-10
Details
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(142.6kB
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(235.7kB
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- Matthew E. Taylor, Manish Jain,
Prateek Tandon, and Milind Tambe. Using DCOPs to Balance Exploration and Exploitation
in Time-Critical Domains. In Proceedings of the IJCAI 2009 Workshop on Distributed Constraint Reasoning, July 2009.
DCR-2009
Details
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[pdf]
(698.3kB
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[ps]
(1.8MB
)
- Matthew E. Taylor, Chris
Kiekintveld, Craig Western, and Milind
Tambe. Is There a Chink in Your ARMOR? Towards Robust Evaluations for Deployed Security Systems. In Proceedings
of the IJCAI 2009 Workshop on Quantitative Risk Analysis for Security Applications, July 2009.
QRASA-2009
Superseded
by the journal article A Framework
for Evaluating Deployed Security Systems: Is There a Chink in your ARMOR?.
Details
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[pdf]
(939.1kB
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[ps]
(5.8MB
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- Matthew E. Taylor and Peter Stone.
Categorizing Transfer for Reinforcement Learning. In Accepted poster at the Multidisciplinary Symposium on Reinforcement
Learning, June 2009.
MSRL-09.
Details
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[pdf]
(144.5kB
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[ps]
(387.8kB
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- Matthew E. Taylor, Chris
Kiekintveld, Craig Western, and Milind
Tambe. Beyond Runtimes and Optimality: Challenges and Opportunities in Evaluating Deployed Security Systems. In
Proceedings of the AAMAS-09 Workshop on Agent Design: Advancing from Practice to Theory, May 2009.
ADAPT-2009
Details
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[pdf]
(71.5kB
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(52.1kB
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- Matthew E. Taylor. Assisting Transfer-Enabled Machine Learning Algorithms:
Leveraging Human Knowledge for Curriculum Design. In The AAAI 2009 Spring Symposium on Agents that Learn from Human
Teachers, March 2009.
AAAI 2009 Spring Symposium on Agents
that Learn from Human Teachers
Details
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[pdf]
(39.8kB
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[ps]
(129.1kB
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- 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
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(unavailable)
- 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
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(unavailable)
- 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
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[pdf]
(139.9kB
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[ps]
(215.4kB
)
- 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
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[pdf]
(144.9kB
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[ps]
(375.1kB
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- 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
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(unavailable)
- 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
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[pdf]
(144.9kB
)
[ps]
(520.0kB
)
Tsai
- Jason Tsai, Emma Bowring, Shira Epstein, Natalie Fridman, Prakhar Garg, Gal Kaminka, Andrew Ogden, Milind
Tambe, and Matthew E. Taylor. Agent-based Evacuation Modeling: Simulating
the Los Angeles International Airport. In Proceedings of the Workshop on Emergency Management: Incident, Resource,
and Supply Chain Management, November 2009.
EMWS09-2009
Details
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[pdf]
(68.6kB
)
[ps]
(382.6kB
)
Varakantham
- Pradeep Varakantham, Jun-young
Kwak, Matthew E. Taylor, Janusz
Marecki, Paul Scerri, and Milind
Tambe. Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping. In Proceedings of the
Nineteenth International Conference on Automated Planning and Scheduling (ICAPS), September 2009.
ICAPS-2009
Details
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[pdf]
(1.2MB
)
[ps]
(5.2MB
)
Whiteson
- Shimon Whiteson, Matthew
E. Taylor, and Peter Stone. Empirical Studies in Action Selection
for Reinforcement Learning. Adaptive Behavior, 15(1), 2007.
Details
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(828.6kB
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(1.5MB
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- Shimon Whiteson, Matthew
E. Taylor, and Peter Stone. Critical Factors in the Empirical Performance
of Temporal Difference and Evolutionary Methods for Reinforcement Learning. Journal of Autonomous Agents
and Multi-Agent Systems, 2009. Published online July 17, 2009 with DOI 10.1007/s10458-009-9100-2.
Details
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[pdf]
(760.6kB
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[ps]
(1.9MB
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- Shimon Whiteson, Brian
Tanner, Matthew E. Taylor, and Peter
Stone. Generalized Domains for Empirical Evaluations in Reinforcement Learning. In Proceedings of the Fourth
Workshop on Evaluation Methods for Machine Learning at ICML-09, June 2009.
Fourth
annual workshop on Evaluation Methods for Machine Learning
Details
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[pdf]
(90.2kB
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[ps]
(209.0kB
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- 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
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(unavailable)
- 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
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[pdf]
(329.4kB
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[ps]
(942.5kB
)
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