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ML-Agents: Hummingbirds

Course
Intermediate
+300 XP
9 Hours35 Mins
(37)
Overview
Live
Summary
Reinforcement Learning is one of the most exciting types of Artificial Intelligence and the Unity ML-Agents project is one of the easiest and most fun ways to get started. The instructor for the course is Adam Kelly, an experienced Unity developer who has been creating tutorials and courses on ML-Agents for Immersive Limit since the early beta days in 2018.
In this course, you will learn how to create intelligent flying hummingbirds that can navigate to flowers, dip their beaks in, and drink nectar. These hummingbirds have six degrees of freedom, meaning they can fly and turn in any direction to find targets. They have more complicated controls and their flight paths cannot be solved with traditional navigation systems. You will learn how to craft a training environment and train neural networks to perform this challenging task, then compete against the birds yourself in a simple mini-game.
There's no question that Reinforcement Learning is a complicated subject, but ML-Agents leaves the hard parts to the researchers so that you can focus on solving problems. By the end of the course, you'll have a good understanding of how you can create intelligent agents and integrate them with your own Unity games or simulation projects.
Materials
HummingbirdScene_1.0.zip
HummingbirdUI_1.0.zip
HummingbirdCompleteProject-1.0-release.zip
MachineLearning_LiveSession_Assets.zip
HummingbirdSourceCode.zip
Language
English
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Submission Gallery
myhumminbird
just a result
15
0
Nectar Hunter (Tutorial Proyect)
I really like this course. The videos were always very clear and the instructor is very entertaining. I upload a screenshot of the agents I trained during the course, in the future I will try to do something more ambitious.
17
0
HummingBirds
Easy and clear instructions. Some parts of the course which is OnActionReceived() and Heuristic() methods need updates.
3
0
Hummingbirb
A bit outdated for my Unity and ML-Agents version but I made through it.
9
0
Awww we Suck Again!!
It was fun!
16
0
Hummingbird Course
Easy and clear instructions. Some parts of the course need updates.
25
0
Have some nectar
I run this toturial in Jan 2024. I encountered some challenges due to the recent library upgrades, which didn't align with the tutorial. I used Unity 2019.4 along with ML-Agents 2.0.1 package. In my Anaconda environment, I cloned ML-Agents from GitHub and followed the GitHub documentation to install version 1.0.0. I had to make some modifications to the HummingbirdAgent.cs file, specifically in the OnActionReceived and Heuristic functions. Finally, I updated the YAML files to the latest version, which can be found in <ml-agents-clone>/config/ppo/Basic.yaml, and incorporated some variables from the original YAML files. After these adjustments, I was able to successfully complete the training. I genuinely appreciate the invaluable knowledge you've shared in your video tutorial.
18
0
Awesome tutorial
clear and easy to follow
21
0