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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: |