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The DQN algo uses 1 worker for running _num_eval_episodes, which seems to be a bottleneck in its performance. Has anyone tried leveraging all the compute cores to make this step faster? Any reason why it hasn't been done before?
File : garage/torch/algos/dqn.py
Line : 173-180
Thanks
Amit Ruhela
The text was updated successfully, but these errors were encountered:
Hi Garage Developers,
The DQN algo uses 1 worker for running _num_eval_episodes, which seems to be a bottleneck in its performance. Has anyone tried leveraging all the compute cores to make this step faster? Any reason why it hasn't been done before?
File : garage/torch/algos/dqn.py
Line : 173-180
Thanks
Amit Ruhela
The text was updated successfully, but these errors were encountered: