Browsing Industrial engineering by Subject "Bayesian learning"
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Information-directed policy sampling for episodic Bayesian Markov decision processes
The research objective of this dissertation is to apply information theoretic methods to design provably efficient approximate solution algorithms for Markov decision processes (MDPs), partially observable MDPs (POMDPs), ...