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# Reinforcement Learning with Cozmo and Unity
@Author: Tobias Hassel
This project uses Reinforcement Learning to teach a virtual Cozmo-Robot to follow a Line drawn on the ground.The plugin ML-Agents for Unity is used to train the robot. A camera together with OpenCvSharp identifies the Line. Based on the Center of Gravity the reward is calculated for the robot. After the training the result is a model file which can be used by the real robot. A python project controls the real cozmo using the pretrained model.