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For questions related to the concept of learning rate (of an optimization algorithm, such as gradient descent) in machine learning.

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Potentially. If you do offline reinforcement learning, you're basically learning to approximate a function by sampling input/output pairs, rather than episode-by-episode. Here, your batch size could …
answered Aug 8 '18 by John Doucette