Amazon today announced AWS DeepRacer, a fully autonomous 1/18th scale race car that aims to help developers learn machine learning. Priced at $399 but currently offered for $249, the race car lets developers to get hands-on – literally – with a machine learning technique called reinforcement learning (RL). RL takes a different approach to training models than other machine learning techniques, Amazon explained. It's a type of machine learning that works when an "agent" is allowed to act on a trial-and-error basis within an interactive environment. It does so using feedback from those actions to learn over time in order to reach a predetermined goal or to maximize some type of score or reward. This makes it different from other machine learning techniques – like Supervised Learning, for example – as it doesn't require any labeled training data to get started, and it can make short-term decisions while optimizing for a long-term goal. The new race car lets developers experiment with RL by learning through autonomous driving.


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