How does a gambler maximize winnings from a row of slot machines? This is the inspiration for the “multi-armed bandit problem,” a common task in reinforcement learning in which “agents ...

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 ...

Recent advances in photonic technology are redefining decision-making processes by integrating quantum dots with bandit problem algorithms. Quantum dots – nanoscale semiconductor particles ...

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 ...

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 ...

"This bandit algorithm has proven advantages," Kocsis said. The possible outcomes of a game are like branches of a tree, and earlier Go programs, unable to scan all branches, picked some at random ...

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 prove an asymptotic optimality result for this algorithm and demonstrate improvements in welfare in calibrated simulations over both non-adaptive designs and bandit algorithms. An application to ...

The International World Wide Web Conference Committee (IW3C2) announced today that the 2023 Seoul Test of Time Award will be presented to the authors of the paper “A Contextual-Bandit Approach ...