157 citations · 778 across the 15 of their papers we have counts for
Showing 2012 · cs.LGShow all
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cs.LG2012★ 6 cited
Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs
Gavin Taylor, Ron Parr
Recently, Petrik et al. demonstrated that L1Regularized Approximate Linear Programming (RALP) could produce value functions and policies which compared favorably to established lin…
cs.LG2012★ 30 cited
Greedy Algorithms for Sparse Reinforcement Learning
Christopher Painter-Wakefield, Ronald Parr
Feature selection and regularization are becoming increasingly prominent tools in the efforts of the reinforcement learning (RL) community to expand the reach and applicability of…