Bandits contextuels


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Bandits contextuels

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Contextual bandits

While multi-arm bandit algorithms go beyond classic A/B/n testing, conveying a large number of algorithms to tackle different problems, all for the sake of achieving the best results possible, they can also become contextual. With the help of a relevant user data stream, contextual bandits for website optimization rely on an incoming stream of user context data, either historical or fresh, which can be used to make better algorithmic decisions in real time.


Source : L'apprentissage profond, Ian Goodfellow, Yoshua Bengio et Aaron Courville Éd. Massot 2018 page 477

Source : dynamicyield.co