Performance in Multi-Armed Bandit Tasks in Relation to Ambiguity-Preference Within a Learning Algorithm

Ellsberg paradox in decision theory posits that people will inevitably choose a known probability of winning over an unknown probability of winning even if the known probability is low [1]. One of the prevailing theories that addresses the Ellsberg paradox is known as “ambiguity-aversion.” In this s...

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Bibliographic Details
Main Authors: Song-Ju Kim, Taiki Takahashi
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
decision making
Ellsberg paradox
ambiguity aversion
reinforcement learning
machine learning
artificial intelligence
Online Access:https://www.frontiersin.org/article/10.3389/fams.2018.00027/full
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