Results 101 to 110 of about 492,986 (210)

A Digital Twin Framework for Delay-Doppler Enabled Multi-UAV Selection Using Neural Contextual Bandits

open access: yesIEEE Open Journal of the Communications Society
The integration of uncrewed aerial vehicles (UAVs) into ground communication offers enhanced flexibility, coverage, and adaptability. However, efficient multi-UAV selection in highly dynamic environments such as UAV-assisted vehicular networks remains a ...
Ehab Mahmoud Mohamed, Mostafa M. Fouda
doaj   +1 more source

Computational Modeling of Decision Making Enhances the Adversity Researcher's Toolbox

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Over the past decades, there has been major progress in our understanding of how adversity influences cognitive abilities and strategies. However, most of this research is based on raw performance, such as response times and accuracy. These measures are informative about decision‐making outcomes but tell us little about cognitive processes. In
Stefan Vermeent   +2 more
wiley   +1 more source

Restless bandits, partial conservation laws and indexability [PDF]

open access: yes
We show that if performance measures in a stochastic scheduling problem satisfy a set of so-called partial conservation laws (PCL), which extend previously studied generalized conservation laws (GCL), then the problem is solved optimally by a priority ...
José Niño-Mora
core  

Development of Elective Flexibility and Related Cognitive Functions Across Three Cultures

open access: yesDevelopmental Science, Volume 30, Issue 1, January 2027.
ABSTRACT Elective flexibility, the ability to switch between working strategies adaptively, is critical for decision‐making in complex environments. Here we experimentally assessed elective flexibility alongside three related cognitive measures short‐term memory, inhibition, and responsive flexibility–in 325 children and adults (ages 4–81‐years) from ...
Sarah Pope‐Caldwell   +6 more
wiley   +1 more source

Contextual bandits with cross-learning

open access: yes, 2021
© 2019 Neural information processing systems foundation. All rights reserved. In the classical contextual bandits problem, in each round t, a learner observes some context c, chooses some action a to perform, and receives some reward ra,t(c). We consider
Schneider, Jon   +4 more
core   +1 more source

Finite-Time Analysis of Kernelised Contextual Bandits [PDF]

open access: yes, 2013
International audienceWe tackle the problem of online reward maximisation over a large finite set of actions described by their contexts. We focus on the case when the number of actions is too big to sample all of them even once.
Valko, Michal   +4 more
core   +1 more source

Evidence-Driven Simulated Data in Reinforcement Learning Training for Personalized mHealth Interventions

open access: yesApplied Sciences
Physical inactivity is a major preventable cause of non-communicable disease and premature mortality. Mobile health interventions can promote physical activity, but their effectiveness depends on the ability to adapt to user’s context and motivation ...
Juan Carlos Caro   +4 more
doaj   +1 more source

A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman   +3 more
wiley   +1 more source

Adversarial Rewards in Universal Learning for Contextual Bandits [PDF]

open access: yes, 2023
We study the fundamental limits of learning in contextual bandits, where a learner's rewards depend on their actions and a known context, which extends the canonical multi-armed bandit to the case where side-information is available. We are interested in
Blanchard, Moise   +2 more
core   +1 more source

Evaluating Early‐Stage Oncology Clinical Trial Designs in the Era of Project Optimus: A Scoping Review

open access: yesPharmaceutical Statistics, Volume 25, Issue 6, November/December 2026.
ABSTRACT In 2021, the FDA initiated Project Optimus to reform dose optimization and selection in early‐phase oncology, highlighting that doses and schedules of new therapies are often inadequately characterized and that traditional dose‐finding approaches should be revised.
Marie‐Karelle Riviere   +4 more
wiley   +1 more source

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