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RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Jung, Wonsuhk, Anthony, Dennis, Mishra, Utkarsh A., Arachchige, Nadun Ranawaka, Bronars, Matthew, Xu, Danfei, Kousik, Shreyas
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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