605 citations · 1.2k across the 17 of their papers we have counts for
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cs.AI2014
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy
Gavin Taylor, Connor Geer, David Piekut
Recent interest in the use of regularization in the use of value function approximation includes Petrik et al.'s introduction of -Regularized Approximate Linear Programm…
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…