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Francis Powlesland & Elena Kotljarova - 1 year ago
On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization
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IBM provides several offerings helping the industry to make autonomous driving become reality and this "Race Track" demo is one perfect example of it. This demo mimics a real-world project done in collaboration with Thyssen Krupp Presta (TKP), a world leader for steering systems. Together we developed an approach were the vehicle learns over time to optimize itself towards a defined goal. It's very often the case in the tech world that we hear about self-driving cars. Just look at Tesla for instance. But, as the saying goes - "all roads lead to Rome"; there are self-driving technologies that approach the problem in novel and creative ways. Unlike current autonomous vehicles, we enable the car to learn "on-the-drive." In this talk we'll discuss some of the more in-depth concepts around reinforcement learning and how we apply this tothe concept of trajectory optimization. We will also give you the opportunity to see not just a demo, but a sneak peek into a real life application.
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