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All publications by Marek Petrik
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RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
Marek Petrik and Dharmashankar Subramanian
Advances in Neural Information Processing Systems 27, 2014


Approximate Dynamic Programming By Minimizing Distributionally Robust Bounds
Marek Petrik
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


Constraint relaxation in approximate linear programs
Marek Petrik and Shlomo Zilberstein
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Robust Value Function Approximation Using Bilinear Programming
Marek Petrik and Shlomo Zilberstein
Advances in Neural Information Processing Systems 22, 2009


Biasing Approximate Dynamic Programming with a Lower Discount Factor
Marek Petrik and Bruno Scherrer
Advances in Neural Information Processing Systems 21, 2008