Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Multigpus #51

Open
realjoenguyen opened this issue Mar 25, 2024 · 1 comment
Open

Multigpus #51

realjoenguyen opened this issue Mar 25, 2024 · 1 comment

Comments

@realjoenguyen
Copy link

Hi,
How to extend the codebase to multi-gpus ? Seems like non-trivial to do that?
Thank you,

@NM512
Copy link
Owner

NM512 commented Apr 16, 2024

Hello,

One option worth exploring is leveraging the implementation of RLlib, as it inherently supports multi-GPU training. RLlib provides a robust framework for reinforcement learning, and its multi-GPU capabilities can serve as a valuable reference point for your codebase extension.

Moreover, if you can accept TF implementation, you might find DreamerV3 within the RLlib library.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants