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

Fuente: arXiv
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Bibliographic Details
Main Authors: 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
Format: Preprint
Published: 2025
Subjects:
Machine Learning
Robotics
Online Access:
Acceder al recurso
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Internet

https://arxiv.org/abs/2511.14759

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