Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
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Updated
Apr 2, 2020 - Python
Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track
AWS DeepRacer Free Student Workshop: Run faster by using your custom waypoints. Step by Step to learn reinforcement learning,
Interactive detailed analysis tool for AWS DeepRacer logs
This framework makes it easier to create and maintain reward functions for AWS DeepRacer, so you spend more time on machine learning rather than writing lots of Python code! It provides geometry functions and numerous observations not available in DeepRacer itself, such as the ACTUAL SPEED of the car.
A hands on reinforcement machine learning bootcamp, created for Summer of Tech NZ. Designed to be run over a two hour session.
Worksheet and Utilities for AWS DeepRacer – one of the most exciting ways of building strong skills in reinforcement learning and through a hands-on approach. This repository offers: 1) Functionally-rich and flexible reward function 2) Utilities with Jupiter notes for Racing Line calculation and visualisation of track 3) Scripts to parse RoboMak…
Some of my reward functions and analysis that helped me throughout my learning
My AWS DeepRacer reward functions and some analysises
The fastest way to get rolling with machine learning on AWS. Workshop completed at re:Invent 2018 🚙 🚗
Code for the AWS DeepRacer Scholarship Challenge - AWS and Udacity are teaming up to teach machine learning and prepare students to test their skills by participating in the world’s first autonomous racing league—the AWS DeepRacer League. Students with the top lap times will earn full scholarships to the Machine Learning Engineer Nanodegree prog…
Reward function experiments for AWS DeepRacer.
A port of the DeepRacer software stack for the Raspberry Pi 4.
Deep Racer in Howard University. Uses a reward function that prioritized staying on the track and following the correct direction. Hyperparameters including batch size, discount factor, and loss type were optimized to achieve a first-place finish. The project combined reinforcement learning and robotics through the DeepRacer platform
This Repo is a brief introduction to how I approached the AWS Deepracer Student League held annually by AWS.
A simple AWS DeepRacer simulator using Unity with OpenAI gym interface.
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