I will discuss recent efforts to introduce Machine Learning methods in the conformal bootstrap programme. The specific approach that I will highlight is based on the use of a Reinforcement Learning algorithm, the soft-Actor-Critic algorithm, which is popular in robotics. As an application, I will present results on the conformal bootstrap of the 6d (2,0) superconformal field theories, where we have recently obtained some new encouraging results.
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Recordings of past talks can be found here: www.youtube.com/channel/UCw9LdPQ5t7Q7muD0qzn70TA