Oct 31, 2020 · Abstract:We study exploration in stochastic multi-armed bandits when we have access to a divisible resource that can be allocated in varying ...
Abstract. We study exploration in stochastic multi-armed bandits when we have access to a divisible re- source that can be allocated in varying amounts.
Abstract. We study exploration in stochastic multi-armed bandits when we have access to a divisible re- source that can be allocated in varying amounts.
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An algorithm is proposed which trades off between information accumulation and throughout and it is shown that the time taken can be upper bounded by the ...
We study exploration in stochastic multi-armed bandits when we have access to a divisible resource that can be allocated in varying amounts to arm pulls.
We study exploration in stochastic multi-armed bandits when we have access to a divisible resource, and can allocate varying amounts of this resource to arm ...
Jun 5, 2021 · Right: Our algorithm, APR, for the fixed confidence setting, adaptively manages parallelism during execution based on the scaling function and ...
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism. Brijen Thananjeyan, Kirthevasan Kandasamy, Ion ...
We study exploration in stochastic multi-armed bandits when we have access to a divisible resource, and can allocate varying amounts of this resource to arm ...
Jul 19, 2021 · Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism · Speakers · Organizer · About ICML ...