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Everything about Thompson sampling

Type of heuristic technique

Thompson sampling, named after William Rae Thompson, is a heuristic for choosing actions that address the exploration–exploitation dilemma in the multi-armed bandit problem. It consists of choosing the action that maximizes the expected reward with respect to a randomly drawn belief. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Thompson samplingA 5-minute orientation
  2. Skim a recent paper: Thompson Sampling─An Efficient Method for Searching Ultralarge Synthesis on Demand DatabasesInfluential work since 2022
  3. Pick up a classic book: Film artThe most-reprinted book on the subject
  4. Read the landmark paper: A Tutorial on Thompson SamplingCited 426 times
  5. Go sideways: Point estimationA closely related topic
  6. Go sideways: Bernstein–von Mises theoremA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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