Digital Twin-Based Self-Adaptation: Value-at-Risk and Learning-to-Synchronize

<p>Digital twins enable safe experimentation and adaptation of mission-critical systems by providing replicas of complex environments. However, their reduced complexity and partial observability can cause underspecification, leading to overfitting in simulation and unstable behavior after deployment...

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Autores principales:	Adriano, Christian Medeiros, Alder, Nicolas, Hildebrandt, Philipp, Schniese, Til, Schulze, Maximilian, Ghahremani, Sona, Giese, Holger
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2026
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/1243355
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