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I don't think there is a fixed threshold that differentiates between Shallow and Deep Learning, but I would say that a 2 layer NN should not be considered deep. But now-a-days, almost all NN architectures are studied under the umbrella of Deep Learning. And yes, training a 2 hidden layers NN using Q-learning would technically mean doing deep RL. I guess it ...


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