AWS Innovate DeepRacer Challenge 2019

Build, train, and evaluate a self-driving model, and join the world's first autonomous racing league!

 

Register here

This challenge is worldwide and open to everyone

 

Participate in 4 steps:

 
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Register for the challenge on Agorize

 
Register here and get exclusive access to the registration forms and all the resources that will help you win the race.
 

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Learn with Tutorials & online courses

 

Whether you are new to machine learning or ready to build on your existing skills, we can help you get ready to race with online trainings, tutorials, labs, and step by step guides.

You can also attend live sessions at AWS Innovate Online Conference and ask all your questions to AWS experts.

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Create, train, evaluate & improve your model


Create and train your reinforcement learning model in the AWS DeepRacer 3D racing simulator.
Evaluate your model on a simulated race track, tune your reward function and hyperparameters, and train again to improve lap times.
 

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Submit your model to the leaderboard

 
Submit your model to the virtual leaderboard to enter the AWS DeepRacer League!
 
You have until October 31, 2019, 11:59pm (UTC+1) to participate.

Great Awards for the fastest racers! 

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The fastest racer will be awarded with

$1,250 AWS Credit.

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The 2nd fastest racer will be awarded with 

$750 AWS Credit.

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The 3rd fastest racer will be awarded with 

$500 AWS Credit.

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All participants who successfully submit an entry to the AWS DeepRacer League leaderboard in October will receive $25 AWS credits

 

By participating in this challenge, racers will also compete in the global October Virtual Circuit, for a chance to win a trip to re:Invent 2019 and an AWS DeepRacer Car.

 

In addition, all participants can benefit from courses in reinforcement learning at AWS Innovate and learn how to build, train and evaluate an autonomous driving model using AWS DeepRacer.

Register on the Agorize platform NOW and get access to the registration forms and useful resources to win the race.

 

Ready, steady, go!