Curriculum Vitae
Download my CV.Refereed Conference Papers
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Value Function Approximation in Noisy Environments Using Locally Smoothed
Regularized Approximate Linear Programs.
Gavin Taylor and Ronald Parr.
UAI 2012. [ pdf ] [ BibTex ] -
Feature Selection Using Regularization in Approximate Linear Programs for
Markov Decision Processes.
Marek Petrik, Gavin Taylor, Ronald Parr, and Shlomo Zilberstein.
ICML 2010. [ pdf ] [ Tech Report ] [ BibTex ] -
Kernelized Value Function Approximation for Reinforcement Learning.
Gavin Taylor and Ronald Parr.
ICML 2009. [ pdf ] [ BibTex ] -
An Analysis of Linear Models, Linear Value-Function Approximation, and
Feature Selection for Reinforcement Learning.
Ronald Parr, Lihong Li, Gavin Taylor, Christopher Painter-Wakefield, and Michael Littman.
ICML 2008. [ pdf ] [ BibTex ] [ Addendum ]
Student Research
- MIDN 1/C Matthew Yates. Reinforcement Learning with X-Plane. 2013.
Dissertation
- Feature Selection for Value Function Approximation. [ pdf ]
CS Education Workshop Papers
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An Intensive Introductory Robotics Course Without Prerequisites.
Julian Mason and Gavin Taylor.
AAAI Robotics Workshop and Exhibition 2010. [ pdf ]