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Temporal difference learning - Alchetron, the free social encyclopedia

Temporal difference learning - Alchetron, the free social encyclopedia

Temporal difference (TD) learning is a predictionbased machine learning method. It has primarily been used for the reinforcement learning problem, and is said to be a combination of Monte Carlo ideas and dynamic programming (DP) ideas. TD resembles a Monte Carlo method because it learns by sampli

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