Playtika Tech & AILESSONS LEARNED FROM MULTI-ARMED BANDITS IN REAL-TIME PRODUCTIONby Armand Valsesia, Yana Gonnord, Dario D’Andrea, Alistair Doswald, Jerome Carayol6d ago
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AI SageScribeDynamic Traffic Allocation in Multi-Armed Bandit Experiments: Optimizing for Regret MinimizationIn the world of A/B testing and experimentation, dynamically adjusting traffic allocation is a crucial factor for optimizing outcomes and…Sep 8Sep 8
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Playtika Tech & AILESSONS LEARNED FROM MULTI-ARMED BANDITS IN REAL-TIME PRODUCTIONby Armand Valsesia, Yana Gonnord, Dario D’Andrea, Alistair Doswald, Jerome Carayol6d ago
Vadim ArzamasovinTowards Data ScienceOptimizing Marketing Campaigns with Budgeted Multi-Armed BanditsWith demos, our new solution, and a videoAug 16
Ugur YildiriminTowards Data ScienceAn Overview of Contextual BanditsA dynamic approach to treatment personalizationFeb 21
AI SageScribeDynamic Traffic Allocation in Multi-Armed Bandit Experiments: Optimizing for Regret MinimizationIn the world of A/B testing and experimentation, dynamically adjusting traffic allocation is a crucial factor for optimizing outcomes and…Sep 8
Sachin HosmaniinTowards Data ScienceHandling Feedback Loops in Recommender Systems — Deep Bayesian BanditsUnderstanding fundamentals of exploration and Deep Bayesian Bandits to tackle feedback loops in recommender systemsJul 311
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SanrajlachhiramkaCh-2, Multi-armed Bandits Part-1Explains the exploration-exploitation trade-off in RL, and also discusses the different strategies to balance this trade-off.Aug 14
Hennie de HarderinTowards Data ScienceSolving Multi-Armed Bandit ProblemsA powerful and easy way to apply reinforcement learning.Nov 4, 20225
