#policy optimization

DSRL introduces a novel method to adapt diffusion-based robotic policies via latent-space reinforcement learning, significantly boosting real-world task performance without modifying base models.

QwenLong-L1 introduces a structured reinforcement learning approach enabling large language models to excel at long-context reasoning tasks, achieving state-of-the-art results on multiple benchmarks.