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How to use Machine Learning AI Vision with Unity ML-Agents!



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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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30 thoughts on “How to use Machine Learning AI Vision with Unity ML-Agents!
  1. 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

  2. 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?

  3. 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.

  4. 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!

  5. 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?

  6. 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.

  7. 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.)

  8. 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.

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