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01.01.1970 (Thursday)

TP Bootstrapping the 6D (2,0) theory with Reinforcement Learning

Regular Seminar Costis Papageorgakis (QMUL)

at:
13:45 - 13:46
KCL Strand
room: K0.16
abstract:

I will describe a method for approximately solving the crossing equations in a general CFT, using Reinforcement Learning as a stochastic optimiser. I will then present an application of this approach in the context of the 6D (2,0) theory

Keywords: