How to Solve a Match-3 with Machine Learning - Unity ML-Agents

Learn how to implement machine learning in a Match-3 game using Unity ML-Agents in this 21-minute tutorial. Explore the Unity Match-3 ML-Agents Extension, implement AbstractBoard, and set up the Agent with Match3Actuator and Match3Sensor. Discover how to request decisions, add rewards, and conduct heuristics testing. Follow along with the training process and analyze the results to create an AI-powered Match-3 game. Gain practical insights into applying machine learning techniques to game development using Unity's powerful ML-Agents framework.

Machine Learning Match-3
Unity Match-3 ML-Agents Extension
AbstractBoard, Match3Actuator, Match3Sensor
Implementing AbstractBoard
Agent, Match3Actuator, Match3Sensor
Requesting Decisions
Adding Rewards
Heuristics Testing
Training
Results
Machine Learning Match-3