Expanding horizons in reinforcement learning for curious exploration and creative planning.

IF 13.7 1区 心理学 Q1 BEHAVIORAL SCIENCES Behavioral and Brain Sciences Pub Date : 2024-05-21 DOI:10.1017/S0140525X23003394
Dale Zhou, Aaron M Bornstein
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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.

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拓展强化学习的视野,促进好奇探索和创意规划。
好奇心和创造力体现了在利用我们熟悉的事物和寻求新奇事物之间的权衡。通过强化学习的计算视角,我们描述了如何通过信息搜索和信息生成对规划视野的互补效应,正式捕捉到实现这种平衡的一系列解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Behavioral and Brain Sciences
Behavioral and Brain Sciences 医学-行为科学
CiteScore
1.40
自引率
1.70%
发文量
353
期刊介绍: Behavioral and Brain Sciences (BBS) is a highly respected journal that employs an innovative approach called Open Peer Commentary. This format allows for the publication of noteworthy and contentious research from various fields including psychology, neuroscience, behavioral biology, and cognitive science. Each article is accompanied by 20-40 commentaries from experts across these disciplines, as well as a response from the author themselves. This unique setup creates a captivating forum for the exchange of ideas, critical analysis, and the integration of research within the behavioral and brain sciences, spanning topics from molecular neurobiology and artificial intelligence to the philosophy of the mind.
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