56 citations · 182 across the 18 of their papers we have counts for
4 papers · 1 filter
True Online Temporal-Difference Learning
Harm van Seijen, A. Rupam Mahmood, Patrick M. Pilarski +2
The temporal-difference methods TD() and Sarsa() form a core part of modern reinforcement learning. Their appeal comes from their good performance, low computational cost, an…
Emphatic Temporal-Difference Learning
A. Rupam Mahmood, Huizhen Yu, Martha White +1
Emphatic algorithms are temporal-difference learning algorithms that change their effective state distribution by selectively emphasizing and de-emphasizing their updates on differ…
An Empirical Evaluation of True Online TD(λ)
Harm van Seijen, A. Rupam Mahmood, Patrick M. Pilarski +1
The true online TD(λ) algorithm has recently been proposed (van Seijen and Sutton, 2014) as a universal replacement for the popular TD(λ) algorithm, in temporal-difference learning…
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning
Richard S. Sutton, A. Rupam Mahmood, Martha White
In this paper we introduce the idea of improving the performance of parametric temporal-difference (TD) learning algorithms by selectively emphasizing or de-emphasizing their updat…