Results 101 to 110 of about 18,568,643 (214)

Normal Bayesian two-armed bandits

, 2018
The undiscounted normal two-armed bandit is examined from a Bayesian point of view for independent and singular priors on the mean vector ((theta)(,1),(theta)(,2)). Quantification is given to the well-accepted notion that an apparently inferior source needs to be sampled now and then.
openaire   +3 more sources

Randomized Rules for the Two-Armed-Bandit with Finite Memory

The Annals of Mathematical Statistics, 1968
In the "two-armed-bandit with finite memory" problem, each rule which has been proposed (see [2], [3], and [4]) can be improved by using a corresponding randomized rule. The performance of various randomized rules is computed.
openaire   +3 more sources

One Armed Bandit

, 2022
This item contains two documents. The first document provides biographical information surrounding John Oakley-Smith and Warner Bros Music.

core  

AI-Driven Nudge Optimization: Integrating Two-Tower Networks and Multi-Armed Bandit With Behavioral Economics for Digital Banking Campaign

IEEE Access
In the era of digital banking, personalized financial product recommendations play a crucial role in enhancing customer engagement and conversion rates.
Idha Kristiana, Harjanto Prabowo, Ford Lumban Gaol, Nunung Nurul Qomariyah   +3 more
doaj   +1 more source

Informational Herding and Optimal Experimentation [PDF]

We show that far from capturing a formally new phenomenon, informational herding is really a special case of single-person experimentation - and `bad herds' the typical failure of complete learning.
Lones Smith, Peter Norman Sørensen
core   +2 more sources

Psilocybin increases optimistic engagement over time: computational modelling of behaviour in rats

Translational Psychiatry
Psilocybin has shown promise as a novel pharmacological intervention for treatment of depression, where post-acute effects of psilocybin treatment have been associated with increased positive mood and decreased pessimism.
Elizabeth L. Fisher, Ryan Smith, Kyna Conn, Andrew W. Corcoran, Laura K. Milton, Jakob Hohwy, Claire J. Foldi   +6 more
doaj   +1 more source

A linear response bandit problem

Stochastic Systems, 2013
We consider a two–armed bandit problem which involves sequentialsampling from two non-homogeneous populations. The responsein each is determined by a random covariate vector and a vector ofparameters whose values are not known a priori.The goal is to ...
Assaf Zeevi, Alexander Goldenshluger
doaj  

Thompson Sampling for Non-Stationary Bandit Problems

Entropy
Non-stationary multi-armed bandit (MAB) problems have recently attracted extensive attention. We focus on the abruptly changing scenario where reward distributions remain constant for a certain period and change at unknown time steps.
Han Qi, Fei Guo, Li Zhu
doaj   +1 more source

On the two armed bandit with one probability known

Metrika, 1978
The dynamic programming approach to the solution of the two armed bandit problem with one probability known is discussed, for a general prior distribution for the unknown probability. Properties of the objective function and of the stopping boundaries are obtained. The problem of costly observations is discussed.
openaire   +2 more sources

Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach

IEEE Access
Federated learning (FL) is an emerging machine learning (ML) paradigm used to train models across multiple nodes (i.e., clients) holding local data sets, without explicitly exchanging the data.
Dan Ben Ami, Kobi Cohen, Qing Zhao
doaj   +1 more source