General

Q: What is AWS DeepRacer
AWS DeepRacer is the fastest way to get rolling with reinforcement learning (RL), literally, with a fully autonomous 1/18th scale race car driven by reinforcement learning, 3D racing simulator, and a global racing league. Developers can train, evaluate, and tune RL models in the online simulator, deploy their models onto AWS DeepRacer for a real-world autonomous experience and compete in the AWS DeepRacer League for a chance to win the AWS DeepRacer Championship Cup.

Q: What are the new features of AWS DeepRacer?
AWS DeepRacer customers can take on their next machine learning challenge using AWSDeepRacer with the launch of multi-car racing and object avoidance capabilities in the AWSDeepRacer console. Customers can now build models for object avoidance and dual-car head-to-head races by experimenting with multiple sensor inputs and the latest reinforcement learning algorithms and neural network configurations. Developers can build reinforcement learning models ready to deploy to AWS DeepRacer Evo in the 2020 season of the AWS DeepRacer League.

Q: How is AWS DeepRacer different from other robotic scale cars in the market?
AWS DeepRacer is the first autonomous scale car specifically developed to help developers get hands-on with reinforcement learning. AWS DeepRacer gives developers a simple way to learn RL, experiment with new RL algorithms and simulation-to-real domain transfer methods, and experience RL in the real world.

Q: What is the relationship between AWS DeepRacer and AWS Robocar Rally?
After the AWS DeepRacer launch, all Robocar Rally events will be replaced with AWS DeepRacer events. Robocar Rally inspired AWS DeepRacer, but unlike Robocar Rally, AWS DeepRacer focuses on RL and not on behavioral cloning.

Q: How can I get an AWS DeepRacer?
You can access the AWS DeepRacer 3D racing simulator in the AWS DeepRacer console to train your models, evaluate them, and take part in the AWS DeepRacer League. The AWS DeepRacer car is available for purchase on on Amazon.com.

Q: How can I get an AWS DeepRacer Evo?
AWS DeepRacer Evo will be available in 2020. If you would like to be notified when it is ready to ship, you can sign up to the AWS DeepRacer Evo interest list.

Q: Which geographic regions will AWS DeepRacer be available in?
AWS Customers can access the AWS AWS DeepRacer simulator from the US East (N. Virginia) Region. The AWS DeepRacer car is available to order on Amazon.com for customers in the USA.

Q: Which geographic regions will AWS DeepRacer be available in?
AWS Customers can access the AWS DeepRacer simulator from the US East (N. Virginia) Region. The AWS DeepRacer car is available to pre-order on Amazon.com for customers in the USA.
 

Q: What is the AWS DeepRacer League?
The AWS DeepRacer League is the world’s first global autonomous racing league for developers. AWS Customers can use their AWS DeepRacer RL models to compete in a global championship, racing for prizes, glory, and a chance to lift the Championship Cup. There are two ways to participate in the AWS DeepRacer League in 2020 – racing in the Summit Circuit, or online in the Virtual Circuit.

Learn more about the league in the dedicated FAQ section below

 

Getting Started

Q: How do I get started with AWS DeepRacer simulator?
The AWS DeepRacer simulator provides a tutorial to get you started with reinforcement learning and training your first model. You will then also be able to evaluate and tune your models, before racing them in the AWS DeepRacer League. The AWS DeepRacer Developer Documentation provides additional details on building your first model and also how to improve your models.

Q: How can customers get started with multi-car racing and object avoidance?
Customers can login into the AWS DeepRacer console from anywhere in the world. Here they can experiment with new sensor configurations in the Garage section of the console and build reinforcement learning models for head to head and object avoidance racing.
 
Q: How can I start my own Community Race?
Customers can create their own virtual races the Community Races section of the AWS DeepRacer console.

Q: Do I need an AWS DeepRacer car in order to use the AWS DeepRacer simulator?
No. You can train models, evaluate them without owning an AWS DeepRacer car. Furthermore, you can race your models in both the AWS DeepRacer League Virtual and Summit Circuits without owning an AWS DeepRacer car.
 

Q: Does my DeepRacer need to be connected to the internet to race autonomously?
No. AWS DeepRacer uses the deployed RL model and input from the camera to run inference locally. AWS DeepRacer must be connected to the same Wi-Fi network as the device used to start and stop autonomous driving. Details on how to set up your vehicle can be found in the Developer Documentation.

AWS DeepRacer League

Q: How do I race in the DeepRacer League?

There are two ways to participate in the AWS DeepRacer League in 2020, at AWS Summits globally or online in the 3D racing simulator:

1. Virtual Circuit: Join the AWS DeepRacer League from anywhere in the world via the AWS DeepRacer console and put your skills to the test on virtual tracks monthly in time trial, object avoidance, and head-to-head formats. Race for prizes and glory and a chance to advance to compete in the AWS DeepRacer Championship Cup. The top racer at the end of the monthly race in each racing format, will be eligible to advance to compete in the Championship Cup.

2. Summit Circuit: Join us at any AWS Summit or AWS Summit Online events globally, where we will help you build and train a model at a workshop, or you can bring one you have trained at home. You can then put your model to the test and compete on the track in time trial and head-to-head formats. There are no limits on how many Summit events you can participate in. Simply register for and attend the AWS Summits you want to race at, and we’ll see you there!

Q: How many times can I enter the League?
There is no limit on the number of races or race formats you can enter, in-person or virtually. In fact, participating in multiple racing events (at a summit or select AWS events, or a Virtual Circuit race), increases your chances of winning one of the prizes to advance to compete for the Championship Cup. You can race in any combination of Summit Circuit races and Virtual Circuit races, plus you can participate in multiple races and formats in each Circuit.
 

Q: What are the prizes?
Details of the AWS DeepRacer League prizes can be found here. For full details please read the AWS DeepRacer League Terms and Conditions.

 

Q: Do I have to build my own model to race?
No, you do not need to build your own model to compete in the AWS DeepRacer League. The model selector at Summit Circuit races gives you the opportunity to participate using one of the pre-trained models we have available. For the Virtual Circuit, there are tutorials inside the AWS DeepRacer simulator on how to build your own model, as well as pre-trained sample models you can use to get started.

Q: How much time do you get to race on a track in the Summit Circuit?
You have three minutes on the track to attempt to get a valid lap time and enter the leaderboard. Intime trial racing, a valid lap is one where your car can complete a lap around the track without goingoff the track more than three times. In head-to-head racing, a valid lap is one where your car can complete a lap before our AWS DeepRacer X bot car crosses the finish line. Full rules can be foundin the AWS DeepRacer League Terms and Conditions.

Q: How long does a Virtual Circuit race last?
Each virtual race will last one month (from the 1st business day of the month to the last day of the month).

 

Q: How many Virtual Circuit races are there?
Starting on March 2nd, the Virtual Circuit will have 8 monthly races, with three racing formats in each(time trial, object avoidance, and head-to-head). Each race will be revealed in the console on thefirst business day of each month leading up to re:Invent 2020 (March – October).

 

Q: How many Summit Circuit events are there?
The number of Summit Circuit races will be dictated by the number of AWS Summit events. For 2020, there are 37 chances to advance to the Championship Cup from Time Trial, and 37 chances to advance from Head-to-Head racing formats in the AWS Summit Circuit. Racers can qualify at in-person Summit events and at AWS Summit Online events. For a full race schedule please visit the schedule and standings page.

 

Q: How do I score points?
In 2020, the AWS DeepRacer league will no longer track cumulative points. Winners will be awarded based on single race performance only.

 

Q: What do I get if I win a race in either the Summit Circuit or Virtual Circuit?
The winner of each race will be eligible to advance to compete in the AWS DeepRacer Championship Cup. The top 5 in each racing format will win AWS DeepRacer cars, where applicable. For more information on prizes, please read the AWS DeepRacer League rules.
 

Q: What is AWS Summit Online?
The AWS Summit Online is a free online event designed to bring the cloud computing community together to connect, collaborate, and learn about AWS. At a Summit Online event, you can learn how to choose the right database, modernize your data warehouse, and drive digital transformation with AI using AWS services.
 

Q: What is an AWS DeepRacer League Summit Online race?
Attendees of AWS Summit Online events may participate in the event’s AWS DeepRacer Summit Online race, subject to certain terms and conditions. Summit Online races will be conducted in the AWS DeepRacer console on a virtual reproduction of the official AWS DeepRacer League Summit track shape – the 2019 AWS DeepRacer Championship Cup track. Eligible AWS Summit Online attendees may participate in an AWS DeepRacer League Summit Online race throughout the month-long racing period by submitting a model here.
 

Q: What kind of race format is the Summit Online race?
Participants of the AWS DeepRacer League Summit Online Race may participate in both Time Trial and Head-to-Head racing formats. There is no limit to how many times a participant may enter, and participants may compete in both racing formats in each race. There is no Object Avoidance racing format in the Summit Online race.
 

Q: Is the Summit Online race different than Virtual Circuit races?
“Summit Online” races will be governed by the rules and conditions of “Virtual Circuit” races as posted in the official rules, with the following exceptions:

(1) Summit Online head-to-head racing format will follow Virtual Circuit head-to-head qualification race rules, with participants submitting models to navigate the track while avoiding a specified number of moving bot cars. The winners of the race will be determined by the fastest continuous time submitted to the leaderboard at the close of the race. There is no elimination bracket or Head-to-Head tournament at the end of the month for Summit Online races. The winners of the Head-to-Head and Time Trial Summit Online Races are determined by the leaderboard times at the end of the applicable period for the Summit Online Event Race, as outlined at www.awsdeepracerleague.com.

(2) A varying number of first prizes and second prizes will be awarded per each Summit Race. Prizing per Summit Online race will be allocated by the number of physical Summits replaced by a Summit Online. For example, the May Summit Online races will have 8 first prizes in Time Trial; 8 first prizes in Head-to-Head; 40 second prizes in Time Trial; and 40 second prizes in Head-to-Head. Available prizes for a Summit Online race are listed on each AWS DeepRacer League Summit Online race landing page.
 

Product Details

Q: What are the product specifications of the AWS DeepRacer device?
     Car: 1/18th scale 4WD with monster truck chassis
     CPU: Intel Atom™ Processor
     Memory: 4GB RAM
     Storage: 32GB (expandable)
     Wi-Fi: 802.11ac
     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

Additional sensors on AWS DeepRacer Evo are LiDAR and 1 stereo 4 MP camera with MJPEG.
 
Q: If I already own an AWS DeepRacer car will it be able to master multi-car racing and object avoidance?
Developers who already own a DeepRacer car can buy an easy-to-install sensor kit from Amazon.com, also available in 2020, to give their car the same capabilities as AWS DeepRacer Evo. The AWS DeepRacer Sensor Kit includes stereo camera and LIDAR, and you can sign up for the interest list here.
 
Q: What does the LIDAR and stereo camera do?
LIDAR stands for light detection and ranging. It provides a continuous light beam providing the reinforcement model with inputs about whether a car is fast approaching from behind. The stereo camera adds depth perception to allow the car to detect objects in the road and be more responsive to its environment. Combining these sensory inputs with advanced algorithms, and updated reward functions, developers can build models that will not only detect obstacles (including other cars), but will also decide when to overtake to beat the other car to the finish line.    

Q: Which AWS services are integrated with AWS DeepRacer?
AWS DeepRacer integrates with Amazon SageMaker for reinforcement learning model training, AWS RoboMaker to provide the racing simulator, Amazon Kinesis Video Streams for video streaming of virtual simulation footage, Amazon S3 for model storage, and Amazon CloudWatch for log capture.

Q: How do I add new tracks to the AWS DeepRacer simulator?
Currently, developers cannot add additional tracks to the AWS DeepRacer simulator. AWS DeepRacer will release a number of new racing tracks throughout 2020.

Q: Can I train my models on the AWS DeepRacer device?
No. Training an RL model requires feedback regarding the outcome of actions taken by the model. This feedback loop exists in the AWS DeepRacer simulator, but not in the real-world.

Q: Can I train my models locally on my own machine as opposed to the AWS Cloud?
Currently AWS DeepRacer does not support local training.

Q: Can I train AWS DeepRacer RL models directly on Amazon SageMaker?
Yes. You can use the AWS DeepRacer Distributed Training SageMaker Notebook to create and train RL models. You will be able to deploy these models to your AWS DeepRacer manually, but won’t yet be able to import them into the AWS DeepRacer console.

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Learn more about pricing

Information on AWS DeepRacer pricing and integration with other AWS services.

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AWS customers can enter the virtual circuit races via the AWS DeepRacer Console.

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