String Model Building, Reinforcement Learning and Genetic Algorithms
Steven Adam Abel, Andrei Constantin, Harvey, Thomas R., André Lukas · arXiv (Cornell University) · 2021
We investigate reinforcement learning and genetic algorithms in the context of heterotic Calabi-Yau models with monad bundles. Both methods are found to be highly efficient in identifying phenomenologically attractive three-family models, in cases where systematic scans are not feasible. For monads on the bi-cubic Calabi-Yau either method facilitates a complete search of the environment and leads to similar sets of previously unknown three-family models.