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ML-Agents: Hummingbirds

Course
Intermediate
+300 XP
9 Hours35 Mins
(42)
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
Submission Gallery
MLAgents Hummingbird Trained Agent
Used MLAgents and Unity to train an agent in the form of a hummingbird to collect nectar from flowers
64
0
Galaxy Shooter AI
Not long ago I took a Unity course on Udemy in which the project was a spaceship game. Now I'm applying ML-Agents to create an Artificial Intelligence for the enemies and generate the game's bosses.
125846
0
Humming bird
my project
51577
0
CAMERA image as an input ( 36 * 36 pixels )
I improved project for hummingbird to be able to use camera input. I used also immitation learning (when you record your actions and teach NN to act closely as recorded). And even using it last iteration learned for 8 days! (Mac M1). If you have any questions or know how to make it better, write me please www.linkedin.com/in/vshirokun ... Project is here: drive.google.com/file/d/1O_vkL4-LBKStT1a9kRwXIlaLyA67QlSH/view
46366
0
Hummingbirds Training
Hummingbirds training, I figure it out on how to run it using GPU. and adjusting tutorial ActionBuffer and Continuos/DiscreteActionOut
20497
0
MLAgentsFlying
It is a MLAgent training where there is a bird catching a fly
27215
0
Fällerama - Lumberjack Contest
A small game I made for university where you compete against an AI lumberjack. FÄLLERAMA: Lumberjack Contest by PhiMue (itch.io)
44997
2
myhumminbird
just a result
11788
0