Training autonomous agents to perform herding tasks using reinforcement learning.
User Guide (MATLAB)
- Clone the Robotarium MATLAB repository.
- Run init.m in the Robotarium MATLAB simulator folder.
- To train a model using reinforcement learning, run RL.mlx. Alternatively, a pre-trained model net.m is provided for a configuration with one leader agent and five follower agents.
- The trained model may be tested in the Robotarium MATLAB simulator with main.m.
The video files entitled ideal_simulation.avi, robotarium_simulation.avi, and robotarium_video provide full-access video described in the text, “Training Networked Agents to Perform Herding Tasks using Reinforcement Learning.”