50 citations · 106 across the 10 of their papers we have counts for
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cs.AI2013
Avoiding Confusion between Predictors and Inhibitors in Value Function Approximation
Patrick C. Connor, Thomas P. Trappenberg
In reinforcement learning, the goal is to seek rewards and avoid punishments. A simple scalar captures the value of a state or of taking an action, where expected future rewards in…
cs.AI2011★ 8 cited
A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier
Misha Denil, Thomas Trappenberg
In this paper we demonstrate that two common problems in Machine Learning---imbalanced and overlapping data distributions---do not have independent effects on the performance of SV…