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Multi-armed bandit

In probability theory and machine learning, the multi-armed bandit problem (sometimes called the K- or N-armed bandit problem) is named from imagining a gambler at a row of slot machines (sometimes known as "one-armed bandits"), who has to decide which machines to play, how many times to play each machine and in which order to play them, and whether to…

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Overview

Empirical motivation

The multi-armed bandit model

Variations

Bandit strategies

Contextual bandit

Adversarial bandit

Non-stationary bandit

Other variants

Advanced semantic analysis

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Map overview Semantic statistics

Multi-armed bandit

Nodes54
Edges53
Triples74
Avg. degree1.96
Density0.037037
Components1

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Multi-armed bandit

Top relations

related to External links · 32
Multi-armed bandit → A-B, Algorithms, Animated, Bandit, Banditlib, Bandits, Blog, Bubeck, Cesa-Bianchi, Contextual, Contextual Bandits, Contextual Multi-armed Bandits, Epsilon-greedy, Exploitation, Exploration, Feynman's, Introduction, Leslie Pack Kaelbling, Littman, MABWiser
related to Variations · 7
Multi-armed bandit → Another, Bernoulli, Binary, Each, In, Markov, There
related to Constrained contextual bandit · 6
Multi-armed bandit → Badanidiyuru, CCB, Constrained, However, In, Resourceful Contextual Bandits
related to Adversarial bandit · 5
Multi-armed bandit → Another, Auer, Cesa-Bianchi, In, This
related to Best arm identification · 5
Multi-armed bandit → A/B, An, BAI, In BAI, This
related to Non-stationary bandit · 5
Multi-armed bandit → In, Instead, The, This, Thus
related to The multi-armed bandit model · 4
Multi-armed bandit → Let, MAB, Markov, The
related to Contextual bandit · 2
Multi-armed bandit → At, Over
related to Empirical motivation · 2
Multi-armed bandit → The, There
is a · 1
Multi-armed bandit → contextual multi-armed bandit

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Important terminology

bandit problem reward multi-armed displaystyle bandits algorithm arm time strategies also probability expected exploration optimal exploitation rewards problems learning contextual

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Multi-armed banditis acontextual multi-armed bandit0.90text
managing research projects in a large organizationinstance ofmulti-armed bandits have been used to model problems0.80text
like a science foundation or a pharmaceutical companyinstance ofmulti-armed bandits have been used to model problems0.80text
crowdsourcinginstance ofthere is usually a cost associated with the resource consumed by each action and the total cost is limited by a budget in many applications0.80text
clinical trialsinstance ofthere is usually a cost associated with the resource consumed by each action and the total cost is limited by a budget in many applications0.80text
UCB won't be able to react very quickly to these changesinstance ofetc. then algorithms0.80text
Multi-armed banditrelated to Adversarial banditAnother0.60section
Multi-armed banditrelated to Adversarial banditAuer0.60section
Multi-armed banditrelated to Adversarial banditCesa-Bianchi0.60section
Multi-armed banditrelated to Adversarial banditIn0.60section
Multi-armed banditrelated to Adversarial banditThis0.60section
Multi-armed banditrelated to Best arm identificationAn0.60section

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