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#World Model

Chain of World: World Model Thinking in Latent Motion

Intermediate
Fuxiang Yang, Donglin Di et al.Mar 3arXiv

Robots learn better when they think about how things move over time, not by redrawing every pixel of a video.

#Vision-Language-Action#World Model#Latent Motion

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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

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