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AI Exploration & Optimization

2 summarised stories about AI Exploration & Optimization, each linking back to the original source. Browse all topics →

Tuesday, 23 January 2018

The Multi-Armed Bandit Problem and Its Solutions

Lilian Weng 8 years ago

The multi-armed bandit problem describes an algorithmic dilemma where systems must balance between exploiting known good options and exploring potentially better alternatives. Implementations exist for Bernoulli bandits in the lilianweng/multi-armed-bandit repository. This trade-off applies to real-world scenarios from restaurant selection to ad recommendation systems.