With this asset, you can train a neural network using the inverted pendulum example.
The inverted pendulum problem involves keeping a rod upright on a cart by properly controlling the cart, and it is often used as a benchmark problem for evaluating the performance of control algorithms.
You can experiment with how changing various settings, such as the number of layers in the neural network, affects the learning process.
The asset includes a foundational explanation of AI (documents), program development, and a simulation environment. The documents describe the following:
[Introduction]
This document explains the prerequisites required to use Mind Render AI Drill.
Install Unity Hub
Install Unity
Sign in to Unity
Add a project
Install Visual Studio Code
Edit the program
[Neural Network]
Using an inverted pendulum as an example, his document explains how to train a neural network using backpropagation and gradient descent.
Brief Review of Neural Networks
Gradient Descent
Problem Setting
Overview of the Program
Code Descriptions
Training Result
Optional Exercises
Appendix A. Universal Approximation Theorem
Appendix B. Backpropagation