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Amazon debuts a scale model autonomous car to teach developers machine learning

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.


We are pleased and excited to announce AWS DeepRacer and the AWS DeepRacer League. New reinforcement learning powered AWS service and racing league ML powered cars. #reInvent pic.twitter.com/9Qmmqj4Ebw
— AWS re:Invent (@AWSreInvent) November 28, 2018
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