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Universal Knowledge-Seeking Agents for Stochastic Environments

Orseau, Laurent; Lattimore, Tor; Hutter, Marcus


We define an optimal Bayesian knowledge-seeking agent, KL-KSA, designed for countable hypothesis classes of stochastic environments and whose goal is to gather as much information about the unknown world as possible. Although this agent works for arbitrar

CollectionsANU Research Publications
Date published: 2013
Type: Journal article
Source: Lecture Notes in Artificial Intelligence
DOI: 10.1007/978-3-642-40935-6_12


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