seed_rl
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Problem of Running distributed version
@lespeholt Can distributed version use local server instead of GCP?Looking forward to your reply:)
Yes. The local script in the readme runs the actors and learner in separate processes.
Yes. The local script in the readme runs the actors and learner in separate processes.
Is there a document reference to deploy SEED RL on our own server instead of using GCP, README.md has no relevant information, thank you very much
The same question as Crazyalltnt. @lespeholt
server_address can be changed here: https://github.com/google-research/seed_rl/blob/master/common/common_flags.py#L23 it can also be set to e.g. unix:/tmp/agent_grpc for using Unix domain sockets instead of the network stack.
Other than that, you see the flags applied in the docker file: https://github.com/google-research/seed_rl/blob/master/docker/run.sh#L52
Hi @Crazyalltnt @Maxwell2017 when you refer to local machine do you mean GPU or just a single CPU?
I mean local servers, not cloud servers
Hi @Maxwell2017 ,ok thank you. do you know if I can run this SEED_RL on a single CPU?
@Pranav-India Sorry to reply you so late, I think it can run on cpu machine. However, the learner generally runs on gpu. If you use cpu, the distributed acceleration effect may not be achieved.