In pole position to learn reinforcement learning
AWS DeepRacer gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique that takes a very different approach to training models than other machine learning methods. Its super power is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.
Build models in Amazon SageMaker and train, test, and iterate quickly and easily on the track in the AWS DeepRacer 3D racing simulator.
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Experience the thrill of the race in the real-world when you deploy your reinforcement learning model onto AWS DeepRacer.
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Compete in the world’s first global, autonomous racing league, to race for prizes and glory and a chance to advance to the Championship Cup.
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Get rolling with machine learning
Get started with machine learning quickly with hands-on tutorials that help you learn the basics of machine learning, start training reinforcement learning models and test them in an exciting, autonomous car racing experience.
Test these new found skills in either a single-car time-trial format or dual-car head-to-head racing in the AWS DeepRacer 3D racing simulator. Experiment with multiple sensor inputs, the latest reinforcement learning algorithms, neural network configurations and simulation to-real domain transfer methods.
The AWS DeepRacer League provides an opportunity for you to compete for prizes and meet fellow machine learning enthusiasts, online and in person. Share ideas and insights on how to succeed and create your own private virtual race.
The rubber meets the road
AWS DeepRacer is an autonomous 1/18th scale race car designed to test RL models by racing on a physical track. Using cameras to view the track and a reinforcement model to control throttle and steering, the car shows how a model trained in a simulated environment can be transferred to the real-world.
AWS DeepRacer Evo is the next generation in autonomous racing. Take your car to the tracks and master brand new AWS DeepRacer challenges including racing head to head against other cars in the 2020 season of the AWS DeepRacer League. AWS DeepRacer Evo comes with dual stereo cameras, allowing the car to detect objects on the track, and LIDAR (light detection and ranging) helping to determine when to overtake another car and beat it to the finish line.
AWS DeepRacer Evo will be available for purchase on amazon.com in 2020.
Getting started with AWS DeepRacer
Create, train and tune your reinforcement learning model in the AWS DeepRacer 3D racing simulator. Start your journey for free »
Develop your first RL model quickly and easily in the AWS DeepRacer console, using getting started tutorials. Experiment and grow your skills by tuning and retraining your model, to successfully navigate around the track and achieve the fastest lap time!
Experiment with additional sensors and new training algorithms, to create an RL model capable of skillfully avoiding obstacles on the road, or detecting and predicting driving behavior of other cars in dual-car head-to-head races.
Compete in the AWS DeepRacer League
Once you have built your model, it’s time to race! The AWS DeepRacer League is the world’s first global autonomous racing league, open to anyone. Developers can compete from anywhere in the world for prizes, glory, and a chance to advance to the AWS DeepRacer Championship Cup Finals at re:Invent 2020!
Rolling into AWS Summits around the globe in 2020, join a race on the AWS DeepRacer League Summit Circuit, to compete in time-trial or head-to-head racing.
Join the AWS DeepRacer League, from anywhere in the world. Compete in time trial races and take on new challenges such as head-to-head racing from via the AWS DeepRacer console.
With the new community races you can now compete with other ML enthusiasts around the globe by creating your own race online in the AWS DeepRacer console.
Under the hood
|CAR||18th scale 4WD with monster truck chassis|
|CPU||Intel Atom™ Processor|
|CAMERA||4 MP camera with MJPEG|
|SOFTWARE||Ubuntu OS 16.04.3 LTS, Intel® OpenVINO™ toolkit, ROS Kinetic|
|DRIVE BATTERY||7.4V/1100mAh lithium polymer|
|COMPUTE BATTERY||13600mAh USB-C PD|
|PORTS||4x USB-A, 1x USB-C, 1x Micro-USB, 1x HDMI|
|SENSORS||Integrated accelerometer and gyroscope|