Planning to be surprised: Optimal Bayesian exploration in dynamic environments

Yi Sun; Faustino Gomez; Jürgen Schmidhuber

doi:10.1007/978-3-642-22887-2_5

Planning to be surprised: Optimal Bayesian exploration in dynamic environments

Yi Sun, Faustino Gomez, Jürgen Schmidhuber

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

88 Scopus citations

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. © 2011 Springer-Verlag Berlin Heidelberg.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	41-51
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-22887-2_5
State	Published - Aug 11 2011
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-642-22887-2_5

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title = "Planning to be surprised: Optimal Bayesian exploration in dynamic environments",

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. {\textcopyright} 2011 Springer-Verlag Berlin Heidelberg.",

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AU - Gomez, Faustino

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PY - 2011/8/11

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N2 - 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. © 2011 Springer-Verlag Berlin Heidelberg.

AB - 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. © 2011 Springer-Verlag Berlin Heidelberg.

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U2 - 10.1007/978-3-642-22887-2_5

DO - 10.1007/978-3-642-22887-2_5

M3 - Conference contribution

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EP - 51

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Planning to be surprised: Optimal Bayesian exploration in dynamic environments

Abstract

ASJC Scopus subject areas

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