Where does AlphaGo get experience?
Describe the task, experience and performance measure before examining the algorithm. AlphaGo provides distinct examples of experience from human games and self-play.
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What can images teach without labels? →Unsupervised learning looks for structure in observations. Learning features from image patches shows what that structure can look like before labels enter the task.Where does the learning signal come from? →Finding patterns in unlabeled data and choosing actions from rewards both dispense with a teacher giving the right answer. Only the latter must account for the consequences of a decision.Why can’t a policy classify each move in isolation? →An action changes the next situation and thus the choices and rewards still available. The dependence is temporal even when the delay is short.
Compare the passages
a computer program is set to learn from an experiencethrough self-playing, reinforcement learning, it plays against different versions of itself