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Bayesian Reinforcement Learning

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Milica Gasic and Yunus Saatci will present on Bayesian Reinforcement learning.

Reading: A skim of Chapters 3 and 4 of Sutton and Barto and a skim of the following papers: A Bayesian Framework for Reinforcement Learning, An Analytic Solution to Discrete Bayesian Reinforcement Learning (Poupart et al., 2006), Reinforcement Learning with Gaussian Processes, Bayesian Policy Gradient

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

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