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#Human-in-the-Loop

GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning

Intermediate
GigaBrain Team, Boyuan Wang et al.Feb 12arXiv

GigaBrain-0.5M* is a robot brain that sees, reads, and acts, and it gets smarter by imagining the future before moving.

#Vision-Language-Action#World Model#Reinforcement Learning

SOP: A Scalable Online Post-Training System for Vision-Language-Action Models

Intermediate
Mingjie Pan, Siyuan Feng et al.Jan 6arXiv

This paper introduces SOP, a system that lets many real robots learn new skills online at the same time while keeping one shared brain (policy).

#Scalable Online Post-Training#Vision-Language-Action Models#Actor–Learner Architecture