Accelerating Diffusion Policies with Temporal Adaptive Speculative Decoding
Published:Dec 13, 2025 07:53
•1 min read
•ArXiv
Analysis
This ArXiv paper explores a novel method, TS-DP, for accelerating diffusion policies using reinforcement learning. The research focuses on improving the efficiency of generating sequences in diffusion models, potentially leading to faster inference.
Key Takeaways
Reference
“The paper likely introduces a technique to improve the efficiency of diffusion model generation, although specifics are unknown without further access.”