Jun 10 – 15, 2018
Tsinghua Sanya International Mathematics Forum
Asia/Shanghai timezone

Reinforcement learning in the string landscape

Jun 13, 2018, 10:30 AM
45m
Tsinghua Sanya International Mathematics Forum

Tsinghua Sanya International Mathematics Forum

Sanya, Hainan, China

Speaker

Fabian Ruehle (Oxford)

Description

In studying the string landscape, we often want to find vacua with specific properties, but do not know how to select the string geometry that gives rise to such vacua. For this reason, we apply reinforcement learning, a semi-supervised approach to machine learning in which the algorithm explores the landscape autonomously while being guided towards models with given properties. We illustrate the approach using examples from heterotic, type II, and F-theory.

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