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20242026
most citedMA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning

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cs.RO2026

GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation

AgiBot Research Team, Renhang Liu, Wenzhi Zhao +42

World-action models (WAM) predict future states to guide robot actions, enabling learning from both action-free video and action-labeled interaction. Most inherit pretrained video…