27 citations · 72 across the 11 of their papers we have counts for
4 papers · 1 filter
String Model Building, Reinforcement Learning and Genetic Algorithms
Steven Abel, Andrei Constantin, Thomas R. Harvey +1
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 iden…
Evolving Heterotic Gauge Backgrounds: Genetic Algorithms versus Reinforcement Learning
Steven Abel, Andrei Constantin, Thomas R. Harvey +1
The immensity of the string landscape and the difficulty of identifying solutions that match the observed features of particle physics have raised serious questions about the predi…
Heterotic String Model Building with Monad Bundles and Reinforcement Learning
Andrei Constantin, Thomas R. Harvey, Andre Lukas
We use reinforcement learning as a means of constructing string compactifications with prescribed properties. Specifically, we study heterotic SO(10) GUT models on Calabi-Yau three…
Particle Physics Model Building with Reinforcement Learning
T. R. Harvey, A. Lukas
In this paper, we apply reinforcement learning to particle physics model building. As an example environment, we use the space of Froggatt-Nielsen type models for quark masses. Usi…