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SUMMARY:Transfer learning\, from medical data analysis to reinforcement le
 arning - Xin Guo (University of California\, Berkeley)
DTSTART:20260319T140000Z
DTEND:20260319T150000Z
UID:TALK244480@talks.cam.ac.uk
DESCRIPTION:Transfer learning is a machine learning technique that leverag
 es knowledge acquired in one domain to enhance performance on a related ta
 sk. This technique has been adopted in financial data and medical data ana
 lysis.It plays a central role in the success of large language models (LLM
 s) such as GPT and BERT. &nbsp\;In this talk\, I will discuss how reinforc
 ement learning (RL)\, and in particular continuous time RL\, can benefit f
 rom transfer learningprinciples. &nbsp\;
LOCATION:Seminar Room 1\, Newton Institute
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