Building a Smarter Tag Game: Early Steps in Reinforcement Learning
research#reinforcement learning📝 Blog|Analyzed: Feb 14, 2026 03:32•
Published: Feb 13, 2026 14:22
•1 min read
•Qiita AIAnalysis
This article details an exciting project using Python and Pygame to create a simple tag game environment, laying the groundwork for future Reinforcement Learning implementation. The author focuses on essential game mechanics like movement normalization, inertia, and collision detection, demonstrating a thoughtful approach to building a robust AI training ground.
Key Takeaways
- •The project uses Python 3.13 due to Pygame compatibility issues with Python 3.14.
- •The game incorporates physics-like elements like inertia and collision detection for a more interesting Reinforcement Learning environment.
- •The code normalizes diagonal movement to maintain consistent speed.
Reference / Citation
View Original"I wanted to create something where progress is 'visible' even while studying."