- Step1: Clone the repository from GitHub.
- Step2: Install dependencies with pip install -r requirements.txt.
- Step3: Define your environment model and world parameters.
- Step4: Create agent classes and configure sensors, actions, and reward functions.
- Step5: Set up communication protocols and task allocation strategies.
- Step6: Run the simulation and monitor agent interactions.
- Step7: Analyze logs and visualizations to evaluate performance.