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Title Flows on conformal manifolds with machine learning
Alternative Title Ροές σε σύμμορφες πολλαπλότητες με μηχανική μάθηση
Author Στρατουδάκης, Αλέξανδρος
Thesis advisor Νιάρχος, Βασίλειος
Abstract We explore an approach for solving the Conformal Bootstrap using reinforcement learning techniques. Specifically, we apply the SAC[5] reinforcement learning algorithm to a 2D compactified bosonic CFT and demonstrate its effectiveness in yielding reasonable results. Through extensive experimentation, we show that our reinforcement learning approach is capable of finding solutions that align with known results and exhibit desirable properties. Our findings highlight the potential of reinforcement learning as a valuable tool for solving the Conformal Bootstrap problem.
Language English
Issue date 2023-07-28
Collection   School/Department--School of Sciences and Engineering--Department of Physics--Graduate theses
  Type of Work--Graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/2/0/6/metadata-dlib-1687506847-208794-8416.tkl Bookmark and Share
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