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Description
❓ Question
Hello,
I am trying to use C++ LibTorch models with PyBind11 in Stable-Baselines3.
The problem is that C++ models cannot fully replace Python PyTorch models.The Python code in Stable-Baselines3 cannot recognize C++ models as drop-in replacements.
Is this limitation from PyTorch itself or from Stable-Baselines3, and is there a recommended way to handle it?
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- I have checked that there is no similar issue in the repo
- I have read the SB3 documentation
- I have read the RL Zoo documentation
- If code there is, it is minimal and working
- If code there is, it is formatted using the markdown code blocks for both code and stack traces.
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more information neededPlease fill the issue template completelyPlease fill the issue template completelyquestionFurther information is requestedFurther information is requested