Garage is an open-source AI/ML library built for reinforcement learning research and development. It provides tools, pre-trained models, and a command-line interface to design, train, and evaluate RL algorithms. Garage runs via CLI, making it lightweight and easy to use for research, experimentation, and production workflows.

Features of Garage:

• Framework for reinforcement learning research and experimentation.
• Command-line interface for quick and efficient usage.
• Support for multiple RL algorithms and environments.
• Lightweight and does not require a web server.
• Integration with Python projects for automated RL workflows.
• Tools for training, evaluation, and benchmarking of RL models.
• Open-source and extensible for custom RL research applications.

To check Garage installation:

$ cd /opt/garage

$ source garage_env/bin/activate

$ pip show garage

Disclaimer: Garage is open-source software provided under the MIT License. It is offered "as is," without any warranty, express or implied. Users are responsible for ensuring the ethical and legal use of Garage in their projects.