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$π^{*}_{0.6}$: a VLA That Learns From Experience

Fuente: arXiv
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Detalles Bibliográficos
Autores principales: Intelligence, Physical, Amin, Ali, Aniceto, Raichelle, Balakrishna, Ashwin, Black, Kevin, Conley, Ken, Connors, Grace, Darpinian, James, Dhabalia, Karan, DiCarlo, Jared, Driess, Danny, Equi, Michael, Esmail, Adnan, Fang, Yunhao, Finn, Chelsea, Glossop, Catherine, Godden, Thomas, Goryachev, Ivan, Groom, Lachy, Hancock, Hunter, Hausman, Karol, Hussein, Gashon, Ichter, Brian, Jakubczak, Szymon, Jen, Rowan, Jones, Tim, Katz, Ben, Ke, Liyiming, Kuchi, Chandra, Lamb, Marinda, LeBlanc, Devin, Levine, Sergey, Li-Bell, Adrian, Lu, Yao, Mano, Vishnu, Mothukuri, Mohith, Nair, Suraj, Pertsch, Karl, Ren, Allen Z., Sharma, Charvi, Shi, Lucy Xiaoyang, Smith, Laura, Springenberg, Jost Tobias, Stachowicz, Kyle, Stoeckle, Will, Swerdlow, Alex, Tanner, James, Torne, Marcel, Vuong, Quan, Walling, Anna, Wang, Haohuan, Williams, Blake, Yoo, Sukwon, Yu, Lili, Zhilinsky, Ury, Zhou, Zhiyuan
Formato: Preprint
Publicado: 2025
Materias:
Machine Learning
Robotics
Acceso en línea:
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