Results 1 to 10 of about 1,521 (163)
Noradrenergic regulation of two-armed bandit performance. [PDF]
Behav Neurosci, 2022 Abstract Reversal learning depends on cognitive flexibility. Many reversal learning studies assess cognitive flexibility based on the number of reversals that occur over a test session. Reversals occur when an option is repeatedly chosen, e.g. eight times in a row.
Swanson K, Averbeck BB, Laubach M.
europepmc +4 more sources
Introducing a Method for Calculating the Allocation of Attention in a Cognitive "Two-Armed Bandit" Procedure: Probability Matching Gives Way to Maximizing. [PDF]
Front Psychol, 2016 We tested whether principles that describe the allocation of overt behavior, as in choice experiments, also describe the allocation of cognition, as in attention experiments.
Heyman GM, Grisanzio KA, Liang V.
europepmc +2 more sources
Altered Statistical Learning and Decision-Making in Methamphetamine Dependence: Evidence from a Two-Armed Bandit Task. [PDF]
Front Psychol, 2015 Understanding how humans weigh long-term and short-term goals is important for both basic cognitive science and clinical neuroscience, as substance users need to balance the appeal of an immediate high versus the long-term goal of sobriety.
Harlé KM +5 more
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Basal Ganglia preferentially encode context dependent choice in a two-armed bandit task. [PDF]
Front Syst Neurosci, 2011 Decision is a self-generated phenomenon which is hard to track with standard time averaging methods, such as peri-event time histograms (PETHs), used in behaving animals. Reasons include variability in duration of events within a task and uneven reaction
Garenne A +4 more
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Exponential Two-Armed Bandit Problem [PDF]
2020 24th International Conference on Circuits, Systems, Communications and Computers (CSCC), 2020 We consider exponential two-armed bandit problem in which incomes are described by exponential distribution densities. We develop Bayesian approach and present recursive equation for determination of Bayesian strategy and Bayesian risk. In the limiting case as the control horizon goes to infinity, we obtain the second order partial differential ...
Kolnogorov, Alexander, Grunev, Denis
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PLoS ONE, 2022 When comparing the performance of multi-armed bandit algorithms, the potential impact of missing data is often overlooked. In practice, it also affects their implementation where the simplest approach to overcome this is to continue to sample according ...
Xijin Chen +3 more
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On the Conjecture of Berry Regarding a Bernoulli Two-Armed Bandit
Mathematics, 2023 In this paper, we study an independent Bernoulli two-armed bandit with unknown parameters ρ and λ, where ρ and λ have a pair of priori distributions such that dR(ρ)=CRρr0(1−ρ)r0′dμ(ρ),dL(λ)=CLλl0(1−λ)l0′dμ(λ) and μ is an arbitrary positive measure on [0 ...
Jichen Zhang, Panyu Wu
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Learning the Truth in Social Networks Using Multi-Armed Bandit
IEEE Access, 2020 This paper explains how agents in a social network can learn the arbitrary time-varying true state of the network. This is practical in social networks where information is released and updated without any coordination.
Olusola T. Odeyomi
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Scientific Reports, 2021 In recent cross-disciplinary studies involving both optics and computing, single-photon-based decision-making has been demonstrated by utilizing the wave-particle duality of light to solve multi-armed bandit problems.
Takashi Amakasu +5 more
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IET Energy Systems Integration, 2021 In systems with high penetration of renewables, demand side resources have been aggregated to facilitate system operation. However, the natural uncertainty and randomness of users' behaviour may deteriorate the demand aggregation performance, including a
Qinran Hu +5 more
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