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SUMMARY:Model-Based and Model-Free: A Tale of Two Paradigms Told from Rein
 forcement Learning and Generative AI - Xunyu Zhou (Columbia University)
DTSTART:20251110T094000Z
DTEND:20251110T102000Z
UID:TALK238417@talks.cam.ac.uk
DESCRIPTION:In this talk I will discuss the key connections and difference
 s between the model-based andmodel-free paradigms from the perspectives of
  reinforcement learning and generative AI. I will arguethat establishing a
  sufficiently accurate model is both impossible and unnecessary for the ul
 timatepurpose of making optimal decisions\, but there is some quantity\, o
 ne that is an aggregate measure ofthe model parameters and control actions
 \, that needs to be learned and can indeed be learned efficientlyin a data
 -driven way.
LOCATION:Seminar Room 1\, Newton Institute
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