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On-policy reinforcement learning with diffusion policies just got a whole lot easier thanks to a clever method that sidesteps expensive log-likelihood computations.
Achieve 10% higher success rates in robotic manipulation tasks while speeding up inference by 1.5-1.8x by intelligently pruning visual tokens in multi-view Vision-Language-Action models.
