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Showing 1 to 1 of 1 for “"Conditional Choice Simulation"”.
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Dynamic Discrete Choice Estimation using Reinforcement Learning with Applications in Online Food Markets
Dynamic Discrete Choice (DDC) models are widely used to analyze sequential decision-making in economics and marketing. However, their estimation remains computationally challenging, especially as state spaces expand, limiting their application to large-scale consumer datasets. This thesis develops …