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The Contribution of Imperfect Probability to Informationism
Informationism is a way of combining imprecise probability and an update rule with like sequential decision making in some kind of coherent way. We are actually getting behavior that's more or less equivalent to so-called functional decision theory. And the other thing is, combining all of this with concepts from reinforcement learning, such as regret bounds, and seeing that all of this makes sense,. The mark of decision processes, and so on.