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my 'super pumped' model that won 3rd place on the simulation and 1st place on the actual race

Python 100.00%

aws-deepracer-model's Introduction

AWS Deep racer model

This is the reward function for my AWS Deep racer model which completed 34 seconds on the simulation race and completed 11 seconds on the actual physical race using the re:Invent 2018 track. It finished 1st place on our company's event.

Specs

Hyperparameters	Values
Gradient descent batch size	64
Entropy	0.01
Discount factor	0.88
Loss type	Huber
Learning rate	0.0003
Number of experience episodes between each policy-updating iteration	18
Number of epochs	4

Training Time
100 minutes

Input Space
[1.1, 2] m/s
[-30, 30] degrees

How I did it?

https://dev.to/poponuts/how-my-aws-deep-racer-model-finished-best-in-11-seconds-5dg3

aws-deepracer-model's People

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