world-compass-rl-world-models

【设计与创意】Improve long-horizon world model fidelity using RL with clip-level rollouts and complementary reward functions for action accuracy and visual quality. Breaks computational constraints by evaluating candidate clips incrementally rather than full sequences, enabling efficient multi-objective optimization.

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