AWS DeepRacer: The fun way of Learning Reinforcement Learning

AWS DeepRacer: The fun way of Learning Reinforcement Learning

AWS DeepRacer: The fun way of Learning Reinforcement Learning. Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer.

Welcome to the AWS DeepRacer journey

Recently, I joined a Bootcamp that will start my journey in learning about reinforcement learning (RL). This Bootcamp is held by Amazon Web Service (AWS) and Jakarta Machine Learning (JML). We will be mentored and guided by the AWS experienced representatives from AWS to learn and apply the reinforcement learning concept for the next three months.

This is gonna be an exciting journey, as we are gonna learn about reinforcement learning the fun way using AWS DeepRacer and bring you with us!

Get to know AWS DeepRacer

Let’s begin with understanding what AWS DeepRacer is. DeepRacer is one of AWS initiatives on bringing reinforcement learning in the hands of every developer. This initiative brings a fun way to learn machine learning, especially RL, using an autonomous racing car, a 3D online racing simulator to build your model, and competition to race.

AWS DeepRacer Vehicle

AWS DeepRacer Evo is a 1/18th scale autonomous racing car driven by reinforcement learning. This car comes with left and right forward-facing cameras that make up stereo cameras. The stereo cameras can help the vehicle learn depth information in images that can be used to sense and avoid objects being approached on the track. This car also has a LiDAR sensor that is backward-facing to detects objects behind and beside the vehicle. The combination of both stereo cameras and LiDAR sensor enable object avoidance and head-to-head racing.

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