Unity ML-Agents - How To Build Player Avoidance AI With Machine Learning?
Today I show you a new demo I created to teach how my player avoidance AI works with ML-Agents. The goal here is to demonstrate basic concepts by making an agent that needs to avoid colliding with the red cube, also changes in target speed are applied to show you how the agent is smart enough to apply changes on the movement frequency.
Today I show you a new demo I created to teach how my player avoidance AI works with ML-Agents. The goal here is to demonstrate basic concepts by making an agent that needs to avoid colliding with the red cube, also changes in target speed are applied to show you how the agent is smart enough to apply changes on the movement frequency.
Source code available in GitHub at:
https://github.com/dilmerv/UnityMLEssentials
Suggest:
☞ Machine Learning Zero to Hero - Learn Machine Learning from scratch
☞ Introduction to Machine Learning with TensorFlow.js
☞ Platform for Complete Machine Learning Lifecycle
☞ Python Machine Learning Tutorial (Data Science)
☞ Free resources to learn Machine Learning 🔥 || How to learn Machine Learning for free in 2021