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Expanding horizons in reinforcement learning for curious exploration and creative planning

Published online by Cambridge University Press:  21 May 2024

Dale Zhou Open the ORCID record for Dale Zhou [Opens in a new window]  and
Aaron M. Bornstein Open the ORCID record for Aaron M. Bornstein [Opens in a new window]
Dale Zhou*
Affiliation:
Neurobiology and Behavior, 519 Biological Sciences Quad, University of California, Irvine, CA, USA [email protected] https://dalezhou.com Center for the Neurobiology of Learning and Memory, Qureshey, Research Laboratory, University of California, Irvine, CA, USA [email protected] https://aaron.bornstein.org/
Aaron M. Bornstein
Affiliation:
Center for the Neurobiology of Learning and Memory, Qureshey, Research Laboratory, University of California, Irvine, CA, USA [email protected] https://aaron.bornstein.org/ Department of Cognitive Sciences, 2318 Social & Behavioral Sciences Gateway, University of California, Irvine, CA, USA
*
*Corresponding author.
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Abstract

Curiosity and creativity are expressions of the trade-off between leveraging that with which we are familiar or seeking out novelty. Through the computational lens of reinforcement learning, we describe how formulating the value of information seeking and generation via their complementary effects on planning horizons formally captures a range of solutions to striking this balance.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 47 , 2024 , e118
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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