Introduction to Reinforcement Learning Agents with the Unity Game Engine

# Reinforcement Learning: Teaching AI to Learn by Doing Researchers are using video game environments to teach artificial intelligence systems how to learn through trial and error—similar to how you might learn a new skill by practicing and adjusting your approach based on what works. This approach, demonstrated using the Unity game engine, helps AI systems figure out the best strategies on their own rather than being explicitly programmed with rules. It's a foundational technique that's making AI more flexible and capable of handling unpredictable real-world situations.
A step-by-step interactive guide to one of the most vexing areas of machine learning. The post Introduction to Reinforcement Learning Agents with the Unity Game Engine appeared first on Towards Data Science.
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