Gender Differences in Reward Allocation Among Boys and Girls who Receive Allowance
Sarah Clift
openalex +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Atypical contributions of reward decisions to momentary mood in individuals with methamphetamine use disorder. [PDF]
Xia YF +8 more
europepmc +1 more source
Inhibition of Addictive Behaviors by Peer-Group Effect in a Conditional Delayed Reward Task
NIT Takashi Sato
openalex +1 more source
This study explores the mechanical performance of three auxetic structures, identifying a re‐entrant‐star hybrid as the most effective for impact absorption. Finite element simulations and experiments demonstrate significant gains in energy absorption and flexural strength after geometric optimization. This study investigates the mechanical performance
Malik Hassan +4 more
wiley +1 more source
Instrumental learning enhances the intrinsic excitability of basal amygdala projection neurons. [PDF]
Wise ET +4 more
europepmc +1 more source
Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley +1 more source
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. [PDF]
Xiao J +6 more
europepmc +1 more source
Exploring personality: the impact of impulsivity on decision making and reward processing
Taryn Berman
openalex +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

