IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors

Imitation learning has been applied to a range of robotic tasks, but can struggle when robots encounter edge cases that are not represented in the training data (i.e., distribution shift). Interactive fleet learning (IFL) mitigates distribution shift by allowing robots to access remote human supervi...

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Veröffentlicht in:	arXiv.org 2023-10
Hauptverfasser:	Datta, Gaurav, Hoque, Ryan, Gu, Anrui, Solowjow, Eugen, Goldberg, Ken
Format:	Artikel
Sprache:	eng
Schlagworte:	Cloning Learning Robots Supervisors Teleoperators
Online-Zugang:	Volltext
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