Applying of Reinforcement Learning for Self-Driving Cars
<p>Interacting with the environment is the most significant task of a self-driving car. Perception is the first step, which is currently AI-based, and a supervised approach is applied. In this approach, <strong>you need to consider that the vehicle is driving in an open context environment, and you need to train your model with all possible scenes and scenarios in the real world. </strong>The variety of scenes and scenarios is the main difficulty that Tesla, Waymo, and Cruise must solve by collecting more and more data and validating system operations based on the collected data. <strong>How can we ensure that a self-driving car has already learned all possible scenarios and safely masters every situation?</strong></p>
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