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WIMLE: Uncertainty-Aware World Models with IMLE for Sample-Efficient Continuous Control

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Aghabozorgi, Mehran, Moazeni, Alireza, Zhang, Yanshu, Li, Ke
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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