Nov 18, 2001 · In the multi-armed bandit problem, originally proposed by Robbins [19], a gambler must choose which of slot machines to play. At each time step, ...
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In the multiarmed bandit problem, a gambler must ... Nonstochastic Multi-Armed Bandits ... Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback.
In the multiarmed bandit problem, a gambler must decide which arm of K nonidentical slot machines to play in a sequence of trials so as to maximize his ...
A solution to the bandit problem in which an adversary, rather than a well-behaved stochastic process, has complete control over the payoffs.
Oct 22, 2024 · A large part of the bandit literature -on adversarial bandits, see Bubeck and Cesa-Bianchi (2012) ; Lattimore and Szepesvári (2018) also for ...
coining the term nonstochastic multi-armed bandit problem. The third fundamental model of multi-armed bandits assumes that the reward processes are neither ...
Oct 22, 2024 · In the multiarmed bandit problem, a gambler must decide which arm of K non- identical slot machines to play in a sequence of trials so as to ...
It's nice that algorithm can solve the non-stochastic bandits problem as well as the stochastic bandits problem. ... The nonstochastic multiarmed bandit problem.
Apr 28, 2019 · Abstract:We consider the non-stochastic version of the (cooperative) multi-player multi-armed bandit problem. The model assumes no ...
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Mar 30, 2017 · The stochastic multi-armed bandit problem assumes the rewards to be generated independently from stochastic distribution associated with each ...