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araffin avatar araffin commented on June 12, 2024

Hello,
the offlineRL branch is probably outdated.
The last branch that I tested was #260
(but I haven't tested it since one year)

Could someone help me understand why the feat/offline-RL branch does not recognize the environment while the feat/gym-donkeycar branch does?

This is the same issue as araffin/aae-train-donkeycar#7 (comment)
There was a migration from gym to gymnasium, and the feat/gym-donkeycar does offer some patching to help with the migration (see warnings in the terminal).
A better solution would be to migration gym donkey car repo to gymnasium.

from rl-baselines3-zoo.

Gribesh avatar Gribesh commented on June 12, 2024

Thanks for the update #260 does work, I had to make few changes to run enjoy.py file to make it run.

Also can you let me know what parameter I can give while running enjoy.py file so that it can run in real donkey car (like: JetRacer) as well?

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araffin avatar araffin commented on June 12, 2024

Also can you let me know what parameter I can give while running enjoy.py file so that it can run in real donkey car (like: JetRacer) as well?

I've only tried with my custom car so far. This is more related to gym env you are using that will interface with the car, the RL Zoo/SB3 only interact via the gym API (reset(), step()).

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Gribesh avatar Gribesh commented on June 12, 2024

Thanks for the confirmation. I was looking at the parameters and making tweaks.

Hopefully, I can use donkey car manage.py with the trained model using rl baseline3 zoo. (As I am using waveshare so environment might be similar enough to make some actions in real world )

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