Iclr_26_news

Flow-Based Single-Step Completion for Efficient and Expressive Policy Learning has been accepted to ICLR 2026.

We propose a flow-based generative policy for one-shot action generation, enabling much faster training and inference (across offline RL, GCRL, and BC).