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All publications by Ronald Parr
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**Greedy Algorithms for Sparse Reinforcement Learning**

*Christopher Painter-wakefield* and *Ronald Parr*

Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012

**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

**Linear Complementarity for Regularized Policy Evaluation and Improvement**

*Jeffrey Johns*, *Christopher Painter-wakefield* and *Ronald Parr*

Advances in Neural Information Processing Systems 23, 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

**Analyzing feature generation for value-function approximation**

*Ronald Parr*, *Christopher Painter-wakefield*, *Lihong Li* and *Michael L. Littman*

Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007

**Learning probabilistic motion models for mobile robots**

*Austin I. Eliazar* and *Ronald Parr*

Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004

**Reinforcement Learning as Classification: Leveraging Modern Classifiers**

*Michail G. Lagoudakis* and *Ronald Parr*

Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003

**Least-Squares Policy Iteration**

*Michail G. Lagoudakis* and *Ronald Parr*

Journal of Machine Learning Research, 2003

**Learning in Zero-Sum Team Markov Games Using Factored Value Functions**

*Michail G. Lagoudakis* and *Ronald Parr*

Advances in Neural Information Processing Systems 15, 2002