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This dataset accompanies the paper WCM: A World Critic Model for Vision-Language-Action Reinforcement Learning.

Description

WCM (World Critic Model) is a history-aware critic for partially observable robot control. It jointly learns to estimate the value of the current state and to predict the next latent state, providing Vision-Language-Action (VLA) reinforcement learning with a representation trained to capture dynamics rather than merely fitting scalar returns.

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