Multitask Reinforcement Learning for Assisting Choice Model Specification
These findings show that accumulating and reusing modelling experience enables Delphos to function as an intelligent assistant for discrete choice model specification, reducing manual trial-and-error while allowing modellers to retain control over model diagnosis, refinement, and final selection.
Gabriel Nova, Stephane Hess, S. van Cranenburgh
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