… for heavy-tailed bandits, we first propose a new quantum … for heavy-tailed distributions,
which is based on the Quantum … quantum mean estimator, we focus on quantum heavy-tailed …

… approaches to introduce quantum bandit algorithms for, respectively, stochastic convex
bandits and bandits with heavy-tailed reward distributions. In addition to quantum bandits, some …

… quantum algorithm for estimating the mean of a real-valued random variable obtained as
the output of a quantum … to estimate the mean of a heavy-tailed distribution with a sub-Gaussian …

… parameterize policies as heavy-tailed distributions, which induces heavy-tailed gradient
noise. … • We present a few heavy-tailed policy parameterizations that may be used in lieu of a …

… We note that although algorithms for heavy-tailed bandits can handle stochastic adversaries,
we will be able to handle polynomially many corruptions and, as we point out later, we can …

… quantum algorithms today, quantum circuits are often simulated on classical computers.
Simulating a complex quantum … huge search space, the heavy-tailed reward distribution, and the …

… In this survey, we call a distribution heavy-tailed if it does not have the exponentially …
Problems of this type belong to the wider class referred as the Multi-Armed Bandit Problems …

… “Almost optimal algorithms for linear stochastic bandits with heavy-tailed payoffs”. In Proceedings
of the 32nd International Conference on Neural Information Processing Systems, NIPS’…

… a background on bandit problems in general,and the one-armed bandit with covariates …
Specifically, we generate the noiseprocess using t(3) (heavy-tailed) and gamma(2,θ) (skewed)…

… vein of the restless multiarmed bandit process that enables the … Following the restless bandit
technique, we propose two … tested heavy-tailed lifespan distributions of the offloaded tasks. …