axelbr / racecar_gym Goto Github PK

Hi, this repository is currently listed in the gymnasium third party environments but we are cleaning the list up to only include maintained gymnasium-compatible repositories.

Would it be possible for it to be upgraded from gym to gymnasium? Gymnasium is the maintained version of openai gym and is compatible with current RL training libraries (rllib and tianshou have already migrated, and stable-baselines3 will soon).

For information about upgrading and compatibility, see migration guide and gym compatibility. The main difference is the API has switched to returning truncated and terminated, rather than done, in order to give more information and mitigate edge case issues.

The friction parameters used in the differential car model used in the pybullet examples lead to extreme drifting.

Please add the corresponding version number for dependencies. For eg. nptyping of 1.4 is required but it downloads the latest which has a different API

doesn't work out of the box:

I get the following error
importerror numpy.core.multiarray failed to import

I am on windows using pycharm

fixed after updating pybullet to latest version

Hi，thank you for your outstanding work! I would like to know how to change the friction parameters to enable model testing at different friction parameters.

Hi, would it be possible to update this repo to use the most recent version of PettingZoo? This project is listed in PettingZoo's third-party-environments, but we only want to include environments which work with the current version.

If you need any help working out issues due to different versions feel free to ask, there were some breaking changes in version 1.2, so it requires a bit of code changes to adapt. The previous API returned done in the step() function, whereas the new one returns truncated and terminated (matching gymnasium). There is a migration guide for gymnasium explaining the changes further, the steps should be basically the same (we're working on making resources for updating old PettingZoo repositories as well): https://gymnasium.farama.org/content/migration-guide/

The current real time factor (RTF) on a single core i9-9900k is about 10x real-time. Training RL agents would benefit from higher RTF's.