We consider a bandit problem consisting of a sequence of $n$ choices from an infinite number of Bernoulli arms, with $n \rightarrow \infty$. The objective is to ...

Recently Fox has suggested and evaluated several non-Bayesian rules for the problem of the two-armed bandit. In this paper several Bayesian rules for this problem are compared with the best of Fox's ...

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

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" make choices ...

Thompson Sampling is an algorithm that can be used to analyze multi-armed bandit problems. Imagine you're in a casino standing in front of three slot machines. You have 10 free plays. Each machine ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...