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Reinforcement-Learning based numerical approaches for the conformal bootstrap

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  • UserCostis Papageorgakis (Queen Mary University of London)
  • ClockFriday 10 November 2023, 13:30-14:30
  • HouseExternal.

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BLHW02 - Machine learning toolkits and integrability techniques in gravity

I will describe a new approach for approximately solving the crossing equations in a general CFT , using stochastic optimisation methods. The main tool will be a Reinforcement Learning algorithm. I will then present concrete applications of this approach in the context of the 6D (2,0) theory and the 1D defect CFT .

This talk is part of the Isaac Newton Institute Seminar Series series.

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