Multi-armed bandits extend RL by ignoring the state and try to balance between exploration and exploitation. Website design and clinical trials are some areas where MAB algorithms shine.

Multi-Armed Bandit (MAB) algorithms have emerged as a vital tool in wireless networks, where they underpin adaptive decision-making processes essential for efficient resource management. These ...

MAB algorithms for advertisements typically use a rapidly changing “mortal multi-armed bandit problem,” which is applied over finite periods of time.

A technical paper titled “MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors” was published by researchers at Texas A&M University and Technische Universitat Darmstadt. Abstract: “As the ...

The multi-armed bandit is an algorithm family, while the Bayesian approach is the way to interpret collated data and provide experiment results using a set of formulas from Bayesian statistics.

We consider optimal sequential allocation in the context of the so-called stochastic multi-armed bandit model. We describe a generic index policy, in the sense of Gittins [J. R. Stat. Soc. Ser. B Stat ...

The Annals of Statistics, Vol. 41, No. 2 (April 2013), pp. 693-721 (29 pages) We consider a multi-armed bandit problem in a setting where each arm produces a noisy reward realization which depends on ...

Who would have thought there was a thing such as a 'multi-arm bandit algorithm'? Of course, it's the branch of mathematics that models how a gambler deals with an entire row of one-arm bandit machines ...

In Hungary, computer scientists are working on algorithms based on how one-armed bandits in casinos are paying players.