apexrl / diff4rlsurvey Goto Github PK

Hello,

Thanks for making this comprehensive survey and it is our great pleasure to see our recent work Crossway Diffusion has been introduced as well. However, I've noticed a slight oversight in the way our paper has been covered in your paper as well as this repo. It would be great if they could be amended.

1. As you mentioned in this repo, Crossway Diffusion is an extension of Diffusion Policy for imitation learning, which uses diffusion models as policies. So in Table 1 of your paper, our method should be moved to the second row, and the title of the table might need to be revised as well.
2. Crossway Diffusion relies on an auxiliary reconstruction loss to guide the intermediate representation from the diffusion model. I believe it would make your paper more informative if you could cover this information in the table.
3. Crossway Diffusion has been rejected by CoRL 2023 and currently, it is under review for another conference. Though I'm happy to see you put it with CoRL, it is unfortunately not the fact :(

Thank you,

Diffusion Reward: Learning Rewards via Conditional Video Diffusion: https://diffusion-reward.github.io/