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Let’s learn how to use the Camera Sensor with Unity ML-Agents!
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How to use Machine Learning AI in Unity (ML-Agents) https://www.youtube.com/watch?v=zPFU30tbyKs
Teach your AI! Imitation Learning with Unity ML-Agents! https://www.youtube.com/watch?v=supqT7kqpEI
AI Learns to play Flappy Bird https://www.youtube.com/watch?v=fz8D0OZkQGQ
AI Learns to Drive a Car https://www.youtube.com/watch?v=2X5m_nDBvS4
Simple Bundle – Complete Collection
https://assetstore.unity.com/packages/3d/environments/simple-bundle-complete-collection-174358?aid=1101l96nj&pubref=mlvision
Simple Farm Animals – Cartoon Assets
https://assetstore.unity.com/packages/3d/characters/animals/simple-farm-animals-cartoon-assets-76405?aid=1101l96nj&pubref=mlvision
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Hello and welcome, I am your Code Monkey and here you will learn everything about Game Development in Unity 2D using C#.
I’ve been developing games for several years with 7 published games on Steam and now I’m sharing my knowledge to help you on your own game development journey.
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And of course we will never see the shootTargetEnvironement.cs
so …. thx … @5:02
Hi sir, new subs here. I was just wondering how to reference Gameobject to another scene?
This is crazy. Why im never thought about simplifying image before feeding it to AI?) Really cool to see combination of two AIs.
When will you have a new course on Udemy ?? Loved the tower defense thx
The machine has found you…
I like your videos especially ML agents.
i have a question:
I am currently working on endless runner ml agents. but the agent keeps losing. do you have any advice on how to make work better?
thanks
my regards
i thought camerasensor was coded by him. It was provided by unity in ml-agent pkg.
Damn this combined with the yolo object detection algorithm could be really fucking cool for real life applications
For grayscale you can have different gray values for different objects?
How come in this project you didn’t create multiple environments to train in parallel to each other?
thank you so much for the great video!
Is there any way to have a black and white camera instead of grayscale? Even less observations
How do I use the –initialize-from tag to start training from a older step count?
First of all thanks for your awesome tutorials. So a Vision sensor acts as Action sender and it works for learning. So if I wanted to allocate inventory to orders would inventory be an Action in some form of discrete numbers?
I also have one question, in the Pig/Sheep example you added the CameraSensor. What for? on Action Received you check if it's either a Sheep or a Pig based on the last transform check.
How to make an AI in car game where the AI can reverse the car when it is stuck with an obstacle in front and get back to track by reversing? Any idea?
Thank you so much for this AI playlist, it`s very inspiring! Are you going to make some new videos on this topic in 2022? It would be so amazing 🙂 Thanks again!
how to put and what other ways to put ml agents to the 2d character itself
how to attach the camera to the agent itself but on 2d game?
Great tutorial
Core i7 4810 MQ 2.8GHz 3.8GHz with turbo boost , is it enough to do training AI ?
I just wanted to ask is it possible to use first person view from environment like self-driving car instead of ray casting? I wanted to train in a way that can be easily transferrable to other domain and eventually in real-world. Have you tried training with first person RBG-D view from car or similar example?
Do you know if there is a way of writing texture yourself without a camera? Would be useful for situations where you have a class presentation of tiles for example, and you want to input the surrounding of the agent without a camera.
AWESOME VIDEO GOD DAMN IT
Does sensor work with imitation learning?
I don't see any VisionCamera Culling Layer ?? in my Unity 2019.4.13f
Is it possible to simplified the input image into multi colors? I want to use it for robot navigation, simplyfied the cam images into target, obstacle, and background. So that when using the model in real life, I can use image segmentation to input simplyfied images without actually considering the complex environment when creating the training environment. (Sorry for my crappy English since it's not my first language.)
Is it possible to use ML AI to have it train over a gaming session rather than train it "offline" and then load the trained model?
Reason is that I want to see if you can us ML AI to learn to play against players rather than against the environment.
for Human body tracking (and placing an skeletal over the body)in AR for android how can i create this application, can you share your thought on this