WCM: A World Critic Model for Vision-Language-Action Reinforcement Learning
The World Critic Model is proposed, built on a lightweight LeJEPA architecture; WCM jointly predicts future latent state and estimates values, such that the critic's representation is explicitly trained to capture temporal dynamics rather than merely regress scalar returns.