Evolving heterotic gauge backgrounds: genetic algorithms versus reinforcement learning

Evolving heterotic gauge backgrounds: genetic algorithms versus reinforcement learning

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 predictive power of string theory. Modern methods of optimisation and search can, however, significantly improve the prospect...

書誌詳細
主要な著者:	Abel, S, Constantin, A, Harvey, TR, Lukas, A
フォーマット:	Journal article
言語:	English
出版事項:	Wiley 2022

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