Access to the DeepRacer section of the AWS console hasn't been made public, and I don't think there's any other way to program it.
If anyone from AWS is reading, I'd love to buy one!
Slap it on new-ish Samsung or Apple phone, coupled to a cheap-ish RC car...
That'd probably get you 80% of the way; also, check out NVidia's "End-to-End" self-driving vehicle paper:
I built a tensorflow model from that trained on a 750 TI for the Udacity Self-Driving Car Engineer Nanodegree (it was part of the course to build such a thing that ran on a virtual track), and after training it did quite well - at least on a virtual track.
A few tweaks to the model, maybe using the TensorFlowLite package or something on the phone - probably work fine for 99.9% of the runs...
I looked into building my own implementation, but decided against it. I'm not particularly interested in the hardware, just the algorithms that drive it, and the amount of time spent getting the hardware working (not to mention a simulator ) would have been nontrivial.
Perhaps I'll grab a Donkey.
The whole idea of the competition would be to use the same hardware so it's a level playing field from a hardware perspective which turns it into a software competition, right?
Also, it looks like they don't know the track beforehand but they seem to be taking absolutely bizarre lines through bends (Or is that an artifact of the model used?)
Also a decent quality five or six DOF arm option instead of the racer might be interesting. Just dont call it DeepGripper.
Anyone know of any successful DIY small RL cars?
"You can pre-order your AWS DeepRacer car on Amazon.com for $399. For a limited time at launch AWS DeepRacer will be available at an introductory discount price of $249."
You don't strictly speaking need the cloud for training a DeepRacer model, although cloud access (via the DeepRacer console) could be the path of least friction.
Much of the source code for training DeepRacer on AWS can be found on the amazon-sagemaker-examples github repo .
The sample training environment relies on Gazebo  which, while freely available, has a managed AWS offering . But ultimately, you should just be able to deploy an RL Coach model to the device .
Edit: Thinking more about it, it's even worse. "Hey kids, robotics is a toy for kids to play with."
I guess the same holds true for other adult things like paint-and-sips (you drink and paint a picture) though, so maybe you've come across an untapped market for bot-and-booze.
Just wanted to compliment you on your self-driving car design. Also skimmed your blog and paper. My intended area of focus is generative modeling but I thought your project was awesome nonetheless.
I am so down for this. Maybe I should organize something.