Optimization of Multi-Armed Bandit Problems (Q168994)
From geokb
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 optimiza
- Bandit Optimization
- Bayesian Optimization
- Contextual Bandits
- Online Learning
- Convex Optimization
- Thompson Sampling
- Regret Analysis
- Gaussian Process Optimization
- Hyperparameter Optimization
- Adversarial Multi-Armed Bandits
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Optimization of Multi-Armed Bandit Problems |
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 optimiza |
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