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Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Hi,
I'm trying to implement the code for the breakout environment, unfortunately it seems to take too long on the computational resources I have access to. Would it be possible to receive the pre-trained models for the RL?
I am trying to use this codebase to reproduce the failure of transfer with vanilla RL algorithms. However, I can not reproduce this phenomenon. It seems that this repo does not contain codes for saving trained models and the training accuracy is always zero on Breakout. I wonder if this is the original code the authors use. Also, I tried to use stable-baselines with wrappers in this repo, however, it seems that vanilla algorithms can successfully transfer to perturbed environments.
I wonder if there is something I missed since the results are contradictory to the paper.
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