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arXiv:1103.5708cs.AI

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments

Yi Sun, Faustino Gomez, Juergen Schmidhuber

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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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Journal reference
DOI
Subjects
cs.AIArtificial Intelligence stat.MLMachine Learning (Statistics)

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  1. Show HN: My friend's project to simulate an entire C. Elegans 1 comment

    • I like to describe my techniques as "not novel, just new." I'm absolutely building on the work of many others in academia. I've spent time with Engert at Harvard, Rex Kerr at Janelia, and some of Deisseroth's students, among others (including Boyden, Ramanathan, Manuel Zimmer in…

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