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I noticed your code would error when switching to use_cuda =True, so here's a few changes just to let it run. Tried it on a few of your environments that use those functions and seems to be fine across them.
More long term, the cuda calls need to be optimized because for training the policy it's faster to run it on CPUs at the moment from running it. You're probably familiar with this and focused on the more important parts, but putting things on cuda is expensive, so the less you transfer things between devices the better.