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First of all, I would like to express my sincere appreciation for your fascinating work. I am very interested in following your implementation to develop more powerful adaptive agents. However, I have encountered some difficulties in reproducing PACE due to missing details in the current README.
Would it be possible for you to provide more comprehensive scripts, along with a more detailed tutorial, for running the entire PACE algorithm? Additionally, I would greatly appreciate it if you could also share scripts and tutorials for reproducing all the baseline methods.
If you could provide these resources, it would be an invaluable contribution to the open-source community in this field, and I would be truly grateful! :)
The text was updated successfully, but these errors were encountered:
Hi, sorry for the late response, and thank you for your interest in our paper and code! As mentioned in the README, training scripts can be found in scripts/, which initiate training from the train_.py file. Baselines other than GSCU are all implemented on the same codebase; I have uploaded the relevant training scripts to scripts/. GSCU requires another set of implementations in baselines/GSCU; you can follow their official instructions for reproducing the experiments. If you encounter any issues, don't hesitate to ask more questions!
Dear Authors,
First of all, I would like to express my sincere appreciation for your fascinating work. I am very interested in following your implementation to develop more powerful adaptive agents. However, I have encountered some difficulties in reproducing PACE due to missing details in the current README.
Would it be possible for you to provide more comprehensive scripts, along with a more detailed tutorial, for running the entire PACE algorithm? Additionally, I would greatly appreciate it if you could also share scripts and tutorials for reproducing all the baseline methods.
If you could provide these resources, it would be an invaluable contribution to the open-source community in this field, and I would be truly grateful! :)
The text was updated successfully, but these errors were encountered: