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The Conjunction of Unsupervised and Reinforcement Learning
Unsupervised learning is something that has been a goal from a research perspective for a while, but it's really played out in big ways and natural language processing recently. And so to make the analogy, there may be natural language proseing. Instead of just generating examples of positive and negative articles, you would instead first train on predicting the next word in a sentence. But only you want to be more data efficient. You want a nodgist? Do something for a minute and at the end know whether you were right or wrong? No, you want to have feedback that's much denser, much more informative.