google-research / google-research/dice_rl
Missing pretrained networks to create_dataset.
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Description
Hi!
I'd like to ask where I can find information about pre-training optimal policies for some environments, such as reacher or cartpole.
I'm trying to reproduce some of the results described in M. Yang et al., '20. For some experiments, generating behavior policy data in`scripts/create_dataset.py` requires pretrained policies (as described in the paper). However, it seems like there is no information regarding pre-training policies in this repo. Without those pretrained policies, I get
`AssertionError: No checkpoint specified (save_path=None); nothing is being restored.`
I would appreciate it if someone let me know where to find the pretrained models or how to train them.
Thanks!
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