Published On: August 24th, 2023Categories: AI News

A comparison of Temporal-Difference(0) and Constant-α Monte Carlo met...
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The Monte Carlo (MC) and the Temporal-Difference (TD) methods are both fundamental technics in the field of reinforcement learning; they solve the prediction problem based on the experiences from interacting with the environment rather than the environment’s model. However, the TD method is a combination of MC methods and Dynamic Programming (DP), making it differs from the MC method in the…

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A comparison of Temporal-Difference(0) and Constant-α Monte Carlo methods on the Random Walk Task

towardsdatascience.com

Feed Name : Towards Data Science – Medium

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hashtags : #comparison #TemporalDifference0 #Constantα #Monte #Carlo #met..

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