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Beyond Noise Steering: Dual-Latent Space Reinforcement Learning for Generative Robot Policy
Pretrained generative robot policies learn expressive action priors from demonstrations. However, existing reinforcement learning methods only steer the noisy space but fail to modulate intermediate action representations during the generation process, resulting in performance degradation and ineffi
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