GREnvs

Gym Environments adjusted to Goal Recognition tasks.

Installation

This repo is installable. The name of the package is gr_envs. The package serves as an extension with multiple gym environments and registration bundles that specifically fit GR frameworks, namely they are goal-conditioned.

The repo is distributed to Pypi. to install the repo: pip install gr_envs

Installing the repo registers the environments to gym, effectively enabling you to run your script\framework having the environments existing out-of-the-box.

If you're on windows and using vscode, you will need Microsoft Visual C++ 14.0 or greater. you can download a latest version here: https://visualstudio.microsoft.com/visual-cpp-build-tools/

Installing Extras

This package offers additional environments via optional extras. To install a specific environment extra, include it in the pip install command:

• Minigrid Environment:
  Installs the minigrid dependency.

  pip install gr_envs[minigrid]
  

• Panda Environment:
  Installs the panda_gym dependency.

  pip install gr_envs[panda]
  

• Parking Environment:
  (Corresponds to the highway-env dependency.)

  pip install gr_envs[highway]
  

• Point-Maze Environment:
  (Corresponds to the gymnasium-robotics dependency.)

  pip install gr_envs[maze]
  

Supported envs:

• Minigrid
• Panda
• Parking
• Point-Maze

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue if you have any suggestions or improvements.

License

This project is licensed under the MIT License.