240 citations · 1.1k across the 39 of their papers we have counts for
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cs.AI2010
Global Optimization for Value Function Approximation
Marek Petrik, Shlomo Zilberstein
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bilin…
cs.AI2010★ 45 cited
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Marek Petrik, Gavin Taylor, Ron Parr +1
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions rel…