Ekkachai Jueng (2026) — arXiv preprint.
Presents Q-Learning Lab, a single-file tool that makes the Bellman update concrete by letting undergraduates inspect how each value is computed and why actions are chosen, through learner-generated trace analysis. It addresses the abstraction gap where students watch policy convergence without understanding mechanism.
A reinforcement-learning-education artifact grounded in active-learning and stem-education for higher-ed. It connects to self-regulated-learning by making the learning process observable, and to scaffolding of difficult quantitative concepts, offering a reproducible teaching tool for ML/RL courses.
Related Pages
- reinforcement-learning-education — RL teaching artifact
- active-learning — Active learning design
- stem-education — STEM higher-ed
- higher-ed — Undergraduate courses
- self-regulated-learning — Observable learning process
- scaffolding — Scaffolding quantitative concepts