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Contextual Bandits and Their Ethical Use Cases
A contextual bandit is a machine-learning algorithm that makes billions of dollars a year and is roughly one-tenth as hyped as GPT. The TikTok doomscroll, the ad that follows you around for a week, the song Spotify queues next, Addictive Games — all of these are bandit-family algorithms.
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The Essence of Context Bandits
What a contextual bandit actually optimises, in one diagram and a handful of equations. With live math and a mermaid flow of the explore-exploit loop.