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.
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.
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.
People also ask
What is the best algorithm for multi-armed bandit?
What is the multi-armed bandit technique?
What is the multi-armed bandit problem in reinforcement learning?
What is the multi-armed bandit problem with casino slot machines example?
Jun 5, 2021 · Right: Our algorithm, APR, for the fixed confidence setting, adaptively manages parallelism during execution based on the scaling function and ...
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 ...
Missing: Sublinear | Show results with:Sublinear
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism. Brijen Thananjeyan, Kirthevasan Kandasamy, Ion ...
[PDF] Resource Allocation in Multi-armed Bandits - cs.wisc.edu
pages.cs.wisc.edu › talks › google_...
Jun 9, 2021 · ▷ Setting 1: a fixed amount of parallel resoures, but with sublinear scaling. ▷ Setting 2: Elastic resources. As we are increasingly running.
Jan 1, 2021 · We study exploration in stochastic multi-armed bandits when we have access to a divisible resource that can be allocated in varying amounts ...
Abstract: We study adaptive video streaming for multiple users in wireless access edge networks with unreliable channels. The key challenge is to jointly ...