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Machine Learning Roguelike

MLRoguelike

Description

A small Roguelike game that uses Machine Learning to power its entities. Both the player and its enemies are ML Agents, and the demo is a good playground to test Machine Learning in a real game environment. A scene specifically for training is included, to demonstrate how to train the agents in a different environment than the one where the game is going to happen. This demo also features the use of Cinemachine for 2D and Tilemap.<br><br> Originally used in Codemotion (Milan) and DevGAMM (Minsk) talks by Ciro Continisio & Alessia Nigretti.<br>

Documentation

Objective

This project is intended to demonstrate a practical application of the Machine Learning Agents in a real game.

Usage instructions

Please note that this project is using v0.2.1d of Unity ML-Agents.

To try out the project, you need to add the Tensorflow Sharp plugin to your Assets folder. More information on how to set up Tensorflow Sharp Support is provided here.<br> To be able to train the agents, make sure that the Python API is installed in your system. This is a guide on how to do it. Then, add the python folder from the Machine Learning Agents repository to the project (outside the Assets folder).<br><br> Refer to the Machine Learning Agents wiki for further instructions on how to set up the project for external training.<br>

Extra Materials

Information on how this project was created is available on the blog post.<br> Slides: Link.<br> Talk video: Link.

Software Requirements

Required: Unity 2017.2, or later version

Hardware Requirements

Required: Any computer (Win or Mac)

Owner and Responsible Devs

Owners: Alessia Nigretti (alessian@unity3d.com), Ciro Continisio (ciro@unity3d.com) Original graphics: Michele "Buch" Bucelli on OpenGameArt under CC0 License

Major Change Log