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Hybrid TD3 stabilizes reinforcement learning in hybrid action spaces by taming overestimation bias with a theoretically grounded weighted clipped Q-learning target.
Robots can now learn manipulation skills from unstructured videos with significantly improved accuracy and generalization by decoupling video understanding from policy learning.
