Stochastic control approach to the multi-armed bandit problems

<p>A multi-armed bandit is the simplest problem to study learning under uncertainty when decisions affect information. A standard approach to the multi-armed bandit often gives a heuristic construction of an algorithm and proves its regret bound. Following a constructive approach, it is often...

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Bibliografiska uppgifter
Huvudupphovsman: Treetanthiploet, T
Övriga upphovsmän: Cohen, S
Materialtyp: Lärdomsprov
Språk:English
Publicerad: 2021
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