Hi, thank you for open-sourcing this great project.
I am currently trying to reproduce the results in this repository, and I have a question regarding the comparison between SimBaV2 and standard SAC.
From my reading, the repository seems to implement SAC with the SimBa / SimBaV2 architecture, but I am not sure whether there is also a plain standard SAC baseline implementation in this codebase.
I would like to ask:
- Does this repository contain a standard SAC implementation without the SimBaV2 architecture?
- If not, what would be the recommended way to make a fair comparison between SimBaV2 and SAC?
- For a fair comparison, which settings should be kept the same between the two methods (e.g., training steps, batch size, replay buffer size, update-to-data ratio, entropy tuning, evaluation protocol, number of seeds)?
- If you have internal baseline results or recommended SAC hyperparameters/codebase for comparison, could you please share them?
My goal is to isolate the effect of the SimBaV2 architecture as clearly as possible.
Thanks in advance for your help.
Hi, thank you for open-sourcing this great project.
I am currently trying to reproduce the results in this repository, and I have a question regarding the comparison between SimBaV2 and standard SAC.
From my reading, the repository seems to implement SAC with the SimBa / SimBaV2 architecture, but I am not sure whether there is also a plain standard SAC baseline implementation in this codebase.
I would like to ask:
My goal is to isolate the effect of the SimBaV2 architecture as clearly as possible.
Thanks in advance for your help.