Discover how to enhance game mechanics using machine learning and large-scale simulations in this 55-minute Unite Now 2020 conference talk. Learn to leverage Unity ML-Agents for training embedded player bots to run game behavior. Explore the integration of ML-Agents with the Kart Microgame, understand the Kart Agent code, and master the process of training your own agent. Gain insights on using Player AI to achieve better game balance and learn how to implement Game Simulation. Presented by Willis Kennedy and Chris Goy, this talk provides a comprehensive overview of ML-Agents, practical demonstrations, and step-by-step guidance on improving your game development skills with artificial intelligence.
Leverage Unity ML-Agents and Game Simulation - Unite Now 2020
Overview
Syllabus
Introduction
QR Code to links and resources
ML-Agents and Kart Microgame integration
ML-Agents overview and demo
The Kart Agent code
Train your Agent
Use Player AI in your Game to Achieve Better Balance
How to use Game Simulation
Taught by
Unity
