Building an AI-Powered Tag Game: A Fun Introduction to Reinforcement Learning
research#reinforcement learning📝 Blog|Analyzed: Feb 13, 2026 14:30•
Published: Feb 13, 2026 14:22
•1 min read
•Qiita AIAnalysis
This article series outlines an exciting project: creating a tag game AI using Reinforcement Learning! The initial focus on building a robust environment with realistic physics, including walls, inertia, and normalized movement, promises a fascinating foundation for future AI learning. It's a great example of how to make learning engaging and challenging for an AI agent.
Key Takeaways
- •The project starts with building a game environment using Python and Pygame.
- •The initial focus is on creating a physics-based world to make the learning more interesting.
- •The article series will progressively introduce Reinforcement Learning to build the AI agent.
Reference / Citation
View Original"今回はまだ強化学習は出てきません。 学習を面白くするための土台作りです。"