chendrag / cep-energy-guided-diffusion Goto Github PK
View Code? Open in Web Editor NEWOfficial codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)
License: MIT License
Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)
License: MIT License
When running train_critic.py after training behavior model, line 106 raises an error because list doesn't have astype method. How to fix this?
Thank you very much for sharing the pre-trained models. But I found some unexpected keys with the following error:
RuntimeError: Error(s) in loading state_dict for QGPO_Critic:
Unexpected key(s) in state_dict: "vf.v.0.weight", "vf.v.0.bias", "vf.v.2.weight", "vf.v.2.bias", "vf.v.4.weight", "vf.v.4.bias", "gaussian_policy.net.0.weight", "gaussian_policy.net.0.bias", "gaussian_policy.net.2.weight", "gaussian_policy.net.2.bias", "gaussian_policy.net.4.weight", "gaussian_policy.net.4.bias".
I also didn't find the nets, vf
and gaussian_policy
in the file model.py
. Could you help me what's wrong?
I am confused about fake_actions and fake_next_actions. Why do you use fake_actions and fake_next_actions in train_critic? Why their sizes are different from dataset.actions?
Hi, Could you provide the pre-trained behavior models weights for the locomotion and antmaze environments? This would save me a lot of time for an experiment I need to run!
Thanks
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