Results 1 to 10 of about 435 (125)

The Perils of Misspecified Priors and Optional Stopping in Multi-Armed Bandits [PDF]

Frontiers in Artificial Intelligence, 2021
The connection between optimal stopping times of American Options and multi-armed bandits is the subject of active research. This article investigates the effects of optional stopping in a particular class of multi-armed bandit experiments, which ...
Markus Loecher
doaj   +4 more sources

An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits [PDF]

Entropy, 2018
In this paper, we propose an information-theoretic exploration strategy for stochastic, discrete multi-armed bandits that achieves optimal regret. Our strategy is based on the value of information criterion.
Isaac J. Sledge, José C. Príncipe
doaj   +4 more sources

Multi-Armed Bandits in Brain-Computer Interfaces [PDF]

Frontiers in Human Neuroscience, 2022
The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward.
Frida Heskebeck, Carolina Bergeling, Bo Bernhardsson   +2 more
doaj   +2 more sources

Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits [PDF]

Entropy
We consider the distributed stochastic gradient descent problem, where a main node distributes gradient calculations among n workers. By assigning tasks to all workers and waiting only for the k fastest ones, the main node can trade off the algorithm’s ...
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz   +3 more
doaj   +2 more sources

Study of Multi-Armed Bandits for Energy Conservation in Cognitive Radio Sensor Networks [PDF]

Sensors, 2015
Technological advances have led to the emergence of wireless sensor nodes in wireless networks. Sensor nodes are usually battery powered and hence have strict energy constraints.
Juan Zhang, Hong Jiang, Zhenhua Huang, Chunmei Chen, Hesong Jiang   +4 more
doaj   +2 more sources

Designing digital health interventions with causal inference and multi-armed bandits: a review [PDF]

Frontiers in Digital Health
Recent statistics from the World Health Organization show that non-communicable diseases account for 74% of global fatalities, with lifestyle playing a pivotal role in their development. Promoting healthier behaviors and targeting modifiable risk factors
Radoslava Švihrová, Radoslava Švihrová, Alvise Dei Rossi, Alvise Dei Rossi, Davide Marzorati, Athina Tzovara, Athina Tzovara, Francesca Dalia Faraci   +7 more
doaj   +2 more sources

Regret Bound for Multi-Armed Bandits with Discounting: A Robust Stochastic Control Approach [PDF]

Fundamental Research
We investigate the exact regret bound for stochastic multi-armed bandit problems with discounting, by formulating the regret bound as the value of a robust stochastic control problem.
Zhou Zhou
doaj   +2 more sources

Multi-class boosting for the analysis of multiple incomplete views on microbiome data [PDF]

BMC Bioinformatics
Background Microbiome dysbiosis has recently been associated with different diseases and disorders. In this context, machine learning (ML) approaches can be useful either to identify new patterns or learn predictive models.
Andrea Simeon, Miloš Radovanović, Tatjana Lončar-Turukalo, Michelangelo Ceci, Sanja Brdar, Gianvito Pio   +5 more
doaj   +2 more sources

With a little help from my 'ordinary friends': relationships, networks, and resilience in Masisi, North Kivu, eastern Democratic Republic of the Congo. [PDF]

Disasters
Abstract Are social networks the key to understanding resilience in conflict? Recent studies suggest so, but relational research in conflict‐affected areas is rare. What exists stresses the importance of small circles of close family members, trusted friends, and co‐ethnic persons/groups, but tends to overlook their aggregate effect.
Fontana SG.
europepmc   +2 more sources

Mating with Multi-Armed Bandits: Reinforcement Learning Models of Human Mate Search [PDF]

Open Mind
Daniel Conroy-Beam
doaj   +2 more sources