About the Project

This grant project supports an AWS DeepRacer competition aimed at engaging students in the exciting field of Reinforcement Learning. Reinforcement Learning is a subset of machine learning that focuses on developing algorithms that can make decisions and learn from experience, similar to how humans learn. The project will be structured around the framework of AI, robotics, and autonomous vehicles, providing an innovative and engaging way for students to learn about these technologies. The competition will involve students training their own autonomous vehicles using AWS DeepRacer technology. All students will train their models in a virtual environment, then transfer these trained models into a physical, DeepRacer vehicle, where they will compete for the fastest time around the same printed track. Through this project, students will not only gain technical skills in Reinforcement Learning, but they will also learn valuable problem-solving, teamwork, and critical thinking skills. The significance of this project is underscored by a relevant stat: according to the World Economic Forum, the demand for AI and machine learning specialists is projected to grow exponentially over the next decade. The AWS Deep Racer competition provides an opportunity for students to gain hands-on experience in a rapidly growing field.