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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

Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration

Beginner

Jiaheng Liu, Yuanxing Zhang et al.Feb 4arXiv

This paper says today's content AIs are great at pretty pictures and videos but often miss what people actually want, creating a big Intent-Execution Gap.

#Vibe AIGC#Agentic Orchestration#Meta Planner

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

Papers3

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

Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration

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