Reinforcement-Learning based numerical approaches for the conformal bootstrap

Add to your list(s) Download to your calendar using vCal

• Costis Papageorgakis (Queen Mary University of London)
• Friday 10 November 2023, 13:30-14:30
• External.

If you have a question about this talk, please contact nobody.

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.

This talk is included in these lists:

• All CMS events
• External
• Featured lists
• INI info aggregator
• Isaac Newton Institute Seminar Series
• School of Physical Sciences
• bld31

Note that ex-directory lists are not shown.