Reinforcement ML using PyMAPDL: Cart-Pole Simulation

This notebook demonstrates a reinforcement machine learning example using MAPDL through PyMAPDL. See the example notebook at PyMAPDL Cart-Pole Notebook.

Installation

First, make sure you have PyMAPDL and MAPDL installed. Visit PyMAPDL - Getting Started

Next, clone the ml-rl-cartpole repository and make sure you are in the correct directory with:

git clone https://github.com/pyansys/ml-rl-cartpole
cd ml-rl-cartpole

Usage

Start JupyterLab and open cartpole.ipynb. Follow the directions in the example.

Contributions

Feel free to contribute to ml-rl-cartpole repository.

License

This example is licened under the MIT License.

Table of Contents

• Reinforcement Machine Learning using PyMAPDL: Cartpole Simulation
  • Background: Markov Decision Process
  • CartPole Simulation
  • Reinforcement Learning: Deep Q-Network
  • Reusing trained agent
  • Epilogue
  • References