Lilian Weng • 1/23/2018

The Multi-Armed Bandit Problem and Its Solutions

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This technical article delves into the Multi-Armed Bandit problem, a fundamental concept in algorithms and machine learning that illustrates the exploration vs. exploitation trade-off. It explains the problem's definition, discusses naive and smarter strategies for achieving the highest long-term rewards, and references implementations for Bernoulli bandits.

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#Machine Learning #algorithms #Reinforcement Learning
The Multi-Armed Bandit Problem and Its Solutions

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