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On Convergence of Emphatic Temporal-Difference Learning
Published on Aug 20, 20152146 Views
We consider emphatic temporal-difference learning algorithms for policy evaluation in discounted Markov decision processes with finite spaces. Such algorithms were recently proposed by Sutton, Mahmood
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Chapter list
On Convergence of Emphatic Temporal-Difference Learning00:00
Background: Off-Policy TD Learning00:00
Emphatic TD Algorithms01:56
Our Results: Stability and Convergence - 104:00
Our Results: Stability and Convergence - 205:32
References06:35