Branes with brains: exploring string vacua with deep reinforcement learning

@article{Halverson2019BranesWB,
  title={Branes with brains: exploring string vacua with deep reinforcement learning},
  author={James Halverson and Brent D. Nelson and Fabian Ruehle},
  journal={Journal of High Energy Physics},
  year={2019},
  volume={2019},
  pages={1-60}
}
A bstractWe propose deep reinforcement learning as a model-free method for exploring the landscape of string vacua. As a concrete application, we utilize an artificial intelligence agent known as an asynchronous advantage actor-critic to explore type IIA compactifications with intersecting D6-branes. As different string background configurations are explored by changing D6-brane configurations, the agent receives rewards and punishments related to string consistency conditions and proximity to… 

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