TLDR Tech / AI
Efficient Rollout Scaling for Diffusion RL
NVIDIA's Sol-RL introduces a two-stage framework that separates exploration and training, using FP4 rollouts to generate large candidate sets and BF16 for selective policy updates. This approach reduced compute costs while improving alignment and accelerating convergence in diffusion model post-training.
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