Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
arXiv:1103.5708
Abstract
To maximize its success, an AGI typically needs to explore its initially unknown world. Is there an optimal way of doing so? Here we derive an affirmative answer for a broad class of environments.
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