Dynamic Assortment with Demand Learning for Seasonal Consumer Goods

By Felipe Caro, Jérémie Gallien. Management Sciences, 2007

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Explore/Exploit Schemes for Web Content Optimization (2009, background): “By now, multi-armed bandit schemes have found wide applicability in diverse areas like clinical trials [4], marketing [5], management [6], web search [7] and online advertising [8].”
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards (2014, background): “Since their inception, MAB problems with various modifications have been studied extensively in Statistics, Economics, Operations Research, and Computer Science, and are used to model a plethora of dynamic optimization problems under uncertainty; examples include clinical trials ([3]), strategic pri”
Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010, background): “different assortments, observing purchases, and estimating the demand model from past sales and assortment decisions (Caro and Gallien, 2007).”
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms (2014, background): “Other instances include the matching bandit (Gai et al., 2010) and the online shortest path problem (Liu & Zhao, 2012).”
Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directions (2013, unknown): “[321–323]), product launch and product exit optimization (e.”