RL Game Tutorials
Interactive tutorials introducing RL concepts through simple games like snake and flappy bird.
Demo
This is placeholder content for the RL Game Tutorials project. Use this section to show short clips or interactive embeds of games like snake or flappy bird that illustrate reinforcement learning concepts.
Problem Statement
Explain why reinforcement learning can feel abstract or intimidating for beginners. Describe the gap between mathematical definitions and intuitive understanding of agents, rewards, and environments.
Solution
Describe how your tutorials layer interactive games, visualizations, and explanations to make RL concepts concrete. Call out how learners can tweak parameters, observe policy changes, and connect results back to core theory.
Project Architecture
Outline how game logic, RL algorithms, and the front-end UI are organized. Mention any separation between simulation code and rendering, and how models are trained or run in-browser versus on a backend.
Technical Documentation
Add details on the RL libraries or custom implementations you use, how environments are structured, and how new games or algorithms can be added to the platform. Include pointers to relevant notebooks or source files.