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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| Format: | Thesis |
| Idioma: | English |
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2021
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