Advanced Bandit Algorithms Research
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Scope of this subject
This cluster of papers focuses on the optimization of multi-armed bandit problems, including topics such as Bayesian optimization, contextual bandits, online learning, convex optimization, Thompson sampling, regret analysis, Gaussian process optimization, hyperparameter optimization, and adversarial multi-armed bandits.
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Research vocabulary
multi-armed bandits; regret bounds; regret minimization; contextual bandits; Thompson sampling; upper confidence bound; regret analysis; stochastic bandits; sublinear regret; regret lower bounds; best arm identification; online convex optimization; acquisition functions; bandit feedback; linear bandits; combinatorial bandits; bandit algorithms; dynamic regret; adversarial bandits; cumulative regret; Gittins index; restless bandits; restless multi-armed bandit; two-armed bandit; prediction with expert advice
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Numeric address and provenance
Morton address: 36183604954548348 · morton4x16-v1
Coordinates: (2, 18, 1803, 12101). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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