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SUMMARY:Reinforcement-Learning based numerical approaches for the conforma
 l bootstrap - Costis Papageorgakis (Queen Mary University of London)
DTSTART:20231110T133000Z
DTEND:20231110T143000Z
UID:TALK201883@talks.cam.ac.uk
DESCRIPTION:I will describe a new approach for approximately solving the c
 rossing equations in a general CFT\, using stochastic optimisation methods
 . The main tool will be a Reinforcement Learning algorithm. I will then pr
 esent concrete applications of this approach in the context of the 6D (2\,
 0) theory and the 1D defect CFT.
LOCATION:External
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