Comments (1)
Hi @AizazSharif ,
The Deep RL Agent training does require quite a bit of compute resources especially given that the training environment (CARLA) itself needs a GPU to run.
If you are running it on a laptop, please use the minimal number of rollout workers and learners using the --num-workers
, --num-envs-per-worker
and --num-gpus
flags. You can set them all to 1
(if that's not what you are using as per the default).
from macad-agents.
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