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Reinforcement Learning

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If you have a question about this talk, please contact Zoubin Ghahramani.

Machine Learning Tutorial Lecture (Note unusual day)

In the first half of the talk, I will cover the basics of reinforcement learning, and its links with policy and value iteration.

In the second half, I will present applications of this theory to issues in animal learning, presenting theoretical issues about uncertainty, average-case reward and model-based and model-free control as we go.


This talk is part of the Machine Learning @ CUED series.

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