In pole position to learn reinforcement learning

AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL).

RL is an advanced machine learning (ML) technique which takes a very different approach to training models than other machine learning methods.

Its superpower is that it learns very complex behaviours without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal.

With AWS DeepRacer, you now have a way to get hands-on with RL, experiment, and learn through autonomous driving.

You can get started with the virtual car and tracks in the cloud-based 3D racing simulator, and for a real-world experience, you can deploy your trained models onto AWS DeepRacer and race your friends, or take part in the global AWS DeepRacer League.

Developers, the race is on.

Specifications:

Car -18th scale 4WD with monster truck chassis

CPU -Intel Atomª Processor

Memory -4GB RAM

Storage -32GB Memory (expandable)

Wi-Fi -802.11ac

Camera -4 MP camera with MJPEG

Software -Ubuntu OS 16.04.3 LTS, Intel¨ OpenVINOª 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

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