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Comment on Dispelling misconceptions about RLHFparent

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RL is about getting numerical feedback of outputs, in contrast to supervised learning where there are examples of what the output should be. There are many RL problems with no delayed rewards, e.g. multi-armed bandits.

Admittely most interesting cases do have delays.

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