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  Exploration beyond bandits

Brändle, F., Binz, M., & Schulz, E. (2022). Exploration beyond bandits. In I. Cogliati Dezza, C. Wu, & E. Schulz (Eds.), The Drive for Knowledge: The Science of Human Information-Seeking (pp. 147-168). Cambridge, UK: Cambridge University Press. doi:10.1017/9781009026949.008.

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https://psyarxiv.com/9fnmj/ (Any fulltext)
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 Creators:
Brändle, F1, Author           
Binz, M1, Author           
Schulz, E1, Author           
Affiliations:
1Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356              

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 Abstract: The ability to seek out new information is crucial in many situations of our everyday lives. In general, people can display quite elaborated exploration behavior. However, exploration has mainly been studied in multiarmed bandit tasks and theories have predominantly focused on simple directed and random exploration strategies. In this chapter, we review the results of prior studies and argue that the repertoire of human exploration strategies is much more diverse than how it is portrayed in the literature. However, to find evidence for more sophisticated strategies, more complex paradigms than multiarmed bandits are required. In particular, we argue that Markov Decision Processes offer an interesting new setting that allows us to capture strategies beyond random and directed exploration, such as empowerment-based strategies or strategies that explore using explicit goals. We conclude this chapter by discussing several new experimental paradigms that could advance our understanding of human exploration to the next level.

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 Dates: 2022-052022
 Publication Status: Issued
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 Identifiers: DOI: 10.1017/9781009026949.008
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Title: The Drive for Knowledge: The Science of Human Information-Seeking
Source Genre: Book
 Creator(s):
Cogliati Dezza, I, Editor
Wu, CM, Editor           
Schulz, E1, Editor           
Affiliations:
1 Research Group Computational Principles of Intelligence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_3189356            
Publ. Info: Cambridge, UK : Cambridge University Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 147 - 168 Identifier: ISBN: 978-1-316-51590-7