ChatGPT, The difference of using reward to guide policy vs using the dataset of reward to train policy?
Actually, the good quality data is the final goal for both?
Reward contains positive reward and negative reward.
Positive/negative reward is the positive/negative data which is collected by reinforcement learning procedure.
For text generation task, positive data means we add this data to training dataset, negative data means we remove this data from training dataset.
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