Open
Description
Hi,
I have run circuit_training using an old build from 2022 using the default setting on Ariane.
After updating to the latest build and updating tf-agents 0.19.0, the training drastically slows down with the default setting on Ariane.
I can see the buffer being filled by the collector jobs. However, the code will always get stuck on learner.run().
This function seemingly comes from a wrapper class for tf_agents.train.learner.
Is this an expected slowdown by using tf-agents 0.19.0, or is something wrong with my environment?
Metadata
Metadata
Assignees
Labels
No labels