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Computational Approaches Reveal Developmental Shifts in Exploratory Play
Developmental Science, Volume 28, Issue 6, November 2025.ABSTRACT Although exploratory play is considered a hallmark of cognitive development and learning, relatively few studies have been able to quantitatively characterize the shifts that may occur in children's approach to exploration. One reason for this gap is due to challenges coding and analyzing children's exploratory play behavior.
Joseph Colantonio +7 more
wiley +1 more source
Frontiers in Applied Mathematics and Statistics, 2018 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].
Song-Ju Kim, Taiki Takahashi
doaj +1 more source
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health [PDF]
, 2023 Jackson A. Killian +5 more
openalex +1 more source
Skyline Identification in Multi-Arm Bandits
2018 IEEE International Symposium on Information Theory (ISIT), 2018 We introduce a variant of the classical PAC multi-armed bandit problem. There is an ordered set of $n$ arms $A[1],\dots,A[n]$, each with some stochastic reward drawn from some unknown bounded distribution. The goal is to identify the $skyline$ of the set $A$, consisting of all arms $A[i]$ such that $A[i]$ has larger expected reward than all lower ...
Cheu, Albert +2 more
openaire +2 more sources
Open‐source AI at scale: Establishing an enterprise AI strategy through modular frameworks
AI Magazine, Volume 46, Issue 3, Fall 2025.Abstract We present a comprehensive enterprise AI strategy developed within the AI Center of Excellence at Fidelity Investments, emphasizing the strategic integration of open‐source AI frameworks into scalable, modular, and reproducible enterprise‐grade solutions.
Serdar Kadıoğlu
wiley +1 more source
Dynamic Pricing Algorithm for Edge Computing Task Offloading Based on Contextual Multi-Armed Bandit [PDF]
Jisuanji gongchengExisting dynamic pricing algorithms for edge computing are based on game-theoretic models and auction mechanisms. With the optimization objective of maximizing a service provider′s total revenue, existing pricing algorithms face difficulties in obtaining
GAN Nan, FU Xiaodong, FENG Yan
doaj +1 more source
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits [PDF]
, 2015 We study the K-armed dueling bandit problem which is a variation of the classical Multi-Armed Bandit (MAB) problem in which the learner receives only relative feedback about the selected pairs of arms.
Clérot, Fabrice +2 more
core +2 more sources
Levy Bandits: Multi-Armed Bandits Driven by Levy Processes
The Annals of Applied Probability, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaspi, Haya, Mandelbaum, Avi
openaire +3 more sources
Effects of Early Adversity and War Trauma on Learning Under Uncertainty
Developmental Science, Volume 28, Issue 5, September 2025.ABSTRACT In uncertain situations, individuals rely on prior experiences of successes and failures to guide future decisions. Research has shown that children exposed to early adversity, such as abuse, can exhibit atypical behaviours in probabilistic learning tasks compared to peers without such experiences, which may have long‐term behavioural ...
Matteo Lisi +4 more
wiley +1 more source
The Scientific World Journal, 2014 This paper proposes a channel selection scheme for the multiuser, multichannel cognitive radio networks. This scheme formulates the channel selection as the multiarmed bandit problem, where cognitive radio users are compared to the players and channels ...
Fanzi Zeng, Xinwang Shen
doaj +1 more source