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<ref>[http://dblp.uni-trier.de/pers/hd/s/Sutton:Richard_S= dblp: Richard S. Sutton]</ref><ref>[http://ilk.uvt.nl/icga/journal/docs/References.pdf ICGA Reference Database] (pdf)</ref>
==1978==
* [[Richard Sutton]] ('''1978'''). ''Single channel theory: A neuronal theory of learning''. Brain Theory Newsletter 3, No. 3/4, pp. 72-75. [http://www.cs.ualberta.ca/%7Esutton/papers/sutton-78-BTN.pdf pdf]
==1980 ...==
* [[Richard Sutton]], [[Andrew Barto]] ('''1981'''). ''Toward a modern theory of adaptive networks: Expectation and prediction''. Psychological Review, Vol. 88, pp. 135-170. [http://www.cs.ualberta.ca/%7Esutton/papers/sutton-barto-81-PsychRev.pdf pdf]
* [[Richard Sutton]] ('''1984'''). ''[http://scholarworks.umass.edu/dissertations/AAI8410337/ Temporal Credit Assignment in Reinforcement Learning]''. Ph.D. dissertation, [https://en.wikipedia.org/wiki/University_of_Massachusetts University of Massachusetts]
* [[Richard Sutton]] ('''1988'''). ''Learning to Predict by the Methods of Temporal Differences''. [https://en.wikipedia.org/wiki/Machine_Learning_%28journal%29 Machine Learning], Vol. 3, No. 1, [https://webdocs.cs.ualberta.ca/~sutton/papers/sutton-88-with-erratum.pdf pdf]
==1990 ...==
* [[Richard Sutton]], [[Andrew Barto]] ('''1990'''). ''Time-Derivative Models of Pavlovian Reinforcement''. in [http://node.realityspline.net/ari/work/neuro/people/showpeople.php?person=faculty/mgabriel.php Michael Gabriel], [http://people.umass.edu/jwmoore/people.htm#JWMoore John Moore] (eds.) ('''1990'''). ''Learning and Computational Neuroscience: Foundations of Adaptive Networks''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press], [https://webdocs.cs.ualberta.ca/~sutton/papers/sutton-barto-90.pdf pdf]
* [[Doina Precup]], [[Richard Sutton]] ('''1997'''). ''Multi-time Models for Temporally Abstract Planning''. [http://dblp.uni-trier.de/db/conf/nips/nips1997.html#PrecupS97 NIPS 1997]
* [[Richard Sutton]], [[Andrew Barto]] ('''1998'''). ''[http://incompleteideas.net/book/the-book.html Reinforcement Learning: An Introduction]''. [https://en.wikipedia.org/wiki/MIT_Press MIT Press]
==2000 ...==
* [[Michael L. Littman]], [[Richard Sutton]], [[Mathematician#SSingh|Satinder Singh]] ('''2001'''). ''Predictive Representations of State''. [http://dblp.uni-trier.de/db/conf/nips/nips2001.html#LittmanSS01 NIPS 2001], [http://web.eecs.umich.edu/~baveja/Papers/psr.pdf pdf]
* [[Richard Sutton]], [http://dblp.uni-trier.de/pers/hd/t/Tanner:Brian Brian Tanner] ('''2005'''). ''Temporal-Difference Networks''. Advances in Neural Information Processing Systems 17, pages 1377-1384. [http://www.cs.ualberta.ca/%7Esutton/papers/sutton-tanner-04.pdf pdf]* [[David Silver]], [[Richard Sutton]], [[Martin Müller]] ('''2007'''). ''Reinforcement learning of local shape in the game of [[Go]]''. In Twentieth International Joint Conference on Artificial Intelligence ([[Conferences#IJCAI2007|20th IJCAI), pages 1053-1058, [https://en.wikipedia.org/wiki/Hyderabad,_India Hyderabad]], India]. [http://webdocs.cs.ualberta.ca/%7Emmueller~mmueller/ps/silver-ijcai2007.pdf pdf]* [[Richard Sutton]], [[Csaba Szepesvári]], [[Hamid Reza Maei]] ('''2008'''). ''A Convergent O(n) Algorithm for Off-policy Temporal-difference Learning with Linear Function Approximation'', available as [http://www.sztaki.hu/%7Eszcsaba/papers/gtdnips08.pdf pdf] (draft)
* [[David Silver]], [[Richard Sutton]], [[Martin Müller]] ('''2008'''). ''Sample-Based Learning and Search with Permanent and Transient Memories''. In Proceedings of the 25th International Conference on Machine Learning, [http://icml2008.cs.helsinki.fi/papers/564.pdf pdf]
* [[Maria Cutumisu]], [[Michael Bowling]], [[Duane Szafron]], [[Richard Sutton]] ('''2008'''). ''Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games''. [https://www.aaai.org/Library/AIIDE/aiide08contents.php Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference], [https://webdocs.cs.ualberta.ca/~duane/publications/pdf/2008aiide.pdf pdf]
* [[Hamid Reza Maei]], [[Csaba Szepesvári]], [[Shalabh Bhatnagar]], [[Doina Precup]], [[David Silver]], [[Richard Sutton]] ('''2009'''). ''Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation.'' Accepted in Advances in Neural Information Processing Systems NIPS 22, Vancouver, BC. December 2009. MIT Press. [http://books.nips.cc/papers/files/nips22/NIPS2009_1121.pdf pdf]* [[Richard Sutton]], [[Hamid Reza Maei]], [[Doina Precup]], [[Shalabh Bhatnagar]], [[David Silver]], [[Csaba Szepesvári]], [[Eric Wiewiora]]. ('''2009'''). ''Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation''. In Proceedings of the 26th International Conference on Machine Learning (ICML-09). , [http://www.sztaki.hu/~szcsaba/papers/GTD-ICML09.pdf pdf]
==2010==
* [[Hamid Reza Maei]], [[Richard Sutton]] ('''2010'''). ''[http://www.incompleteideas.net/sutton/publications.html#GQ GQ(λ): A general gradient algorithm for temporal-difference prediction learning with eligibility traces]''. In Proceedings of the Third Conference on Artificial General Intelligence
