POGP presented at RLC 2026

Our work "Learning When to Stop: Prefix-Optimal Dynamic Diffusion Policies for Continuous Control" was presented at the “Reinforcement Learning Conference (RLC 2026)” in Montréal, where it learns a prefix value function at every denoising step to give diffusion policies a parameter-free stopping criterion at test time.