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InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Khanzada, Feeza Khan, Kwon, Jaerock
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics Artificial Intelligence Emerging Technologies Machine Learning Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
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