2011 · 1K citations · 16 references
ComputingComputer ScienceArtificial IntelligenceMachine LearningStatisticsExploration-exploitation TradeoffMonte Carlo MethodsResampling MethodsResampling TechniquesSampling TechniquesSampling TheoryEmpirical EvaluationThompson Sampling
Thompson sampling is one of oldest heuristic to address the exploration / ex-ploitation trade-off, but it is surprisingly unpopular in the literature. We present here some empirical results using Thompson sampling on simulated and real data, and show that it is highly competitive. And since this heuristic is very easy to implement, we argue that it should be part of the standard baselines to compare against. 1
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A contextual-bandit approach to personalized news article recommendation
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Asymptotically efficient adaptive allocation rules
Tze-Leung Lai, Herbert Robbins · Advances in Applied Mathematics · 1985 · 2.5K citations