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pro vyhledávání: '"Gornet, Jonathan"'
Online decision-making can be formulated as the popular stochastic multi-armed bandit problem where a learner makes decisions (or takes actions) to maximize cumulative rewards collected from an unknown environment. A specific variant of the bandit pr
Externí odkaz:
http://arxiv.org/abs/2406.10418
Autor:
Gornet, Jonathan, Sinopoli, Bruno
Decision-making under uncertainty is a fundamental problem encountered frequently and can be formulated as a stochastic multi-armed bandit problem. In the problem, the learner interacts with an environment by choosing an action at each round, where a
Externí odkaz:
http://arxiv.org/abs/2405.09584
Autor:
Wang, Jie, Gornet, Jonathan, Orange, Alex, Stoller, Leigh, Wong, Gary, Van Der Merwe, Jacobus, Kasera, Sneha Kumar, Patwari, Neal
Future virtualized radio access network (vRAN) infrastructure providers (and today's experimental wireless testbed providers) may be simultaneously uncertain what signals are being transmitted by their base stations and legally responsible for their
Externí odkaz:
http://arxiv.org/abs/2212.08179
The stochastic multi-armed bandit has provided a framework for studying decision-making in unknown environments. We propose a variant of the stochastic multi-armed bandit where the rewards are sampled from a stochastic linear dynamical system. The pr
Externí odkaz:
http://arxiv.org/abs/2204.05782