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Hi I think I see the problem now after more testing. The default config results in a train_every=0.76<1, which causes the trainer to create a new function object for rollout every step.
When rolling out policy here. The nested function
policy(index)
ALWAYS assumes dreamer is None (i.e. never going to the else section).The text was updated successfully, but these errors were encountered: