Explore and Exploit with Heterotic Line Bundle Models

10 Mar 2020 Magdalena Larfors Robin Schneider

We use deep reinforcement learning to explore a class of heterotic $SU(5)$ GUT models constructed from line bundle sums over Complete Intersection Calabi Yau (CICY) manifolds. We perform several experiments where A3C agents are trained to search for such models... (read more)

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Methods used in the Paper


METHOD TYPE
LINE
Graph Embeddings
Entropy Regularization
Regularization
Dense Connections
Feedforward Networks
Softmax
Output Functions
Convolution
Convolutions
A3C
Policy Gradient Methods