Fast LeWorldModel

Fast-LeWM replaces slow, sequential planning in LeWorldModel with parallel action-prefix prediction. Instead of predicting one step at a time, it predicts future states based on entire sequences of actions simultaneously. This allows for faster planning and better learning by modeling how the latent state evolves across multiple actions at once.

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