Newbeeer / pfgmpp

Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

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whether the pfgmpp algorithm can handle temporal data in a similar manner as the ddpm algorithm

Caiheqiu opened this issue · comments

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Dear Newbeeer,

I hope this letter finds you in good health and high spirits. I would like to express my utmost admiration for the incredible work you have done. It's truly remarkable!

I am particularly curious about whether the pfgmpp algorithm can handle temporal data in a similar manner as the ddpm algorithm, and produce satisfactory results.

Actually, I wanted to inquire if it would be possible to apply the pfgmpp algorithm in a conditional generation manner on trajectory data in the context of reinforcement learning. It would be fascinating to investigate its effectiveness in generating improved trajectories based on certain conditions.

Your expertise in this field is highly valued, and I would greatly appreciate your insights on both matters. Your guidance and responses are eagerly awaited.

Thank you in advance for your time and consideration.

Warm regards,
HQ