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All publications by Gavin Taylor
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**An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy**

*Gavin Taylor*, *Connor Geer* and *David Piekut*

Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014

**Feature Selection Using Regularization in Approximate Linear
Programs for Markov Decision Processes**

*Marek Petrik*, *Gavin Taylor*, *Ronald Parr* and *Shlomo Zilberstein*

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

**Kernelized value function approximation for reinforcement
learning**

*Gavin Taylor* and *Ronald Parr*

Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009

**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 L. Littman*

Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008