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Q-Learning Lab

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

Q-Learning Lab is a single-file, offline bilingual browser tool made by Jueng for teaching introductory tabular Q-learning through an interactive gridworld, Bellman-update visualizations, transition logs, and CSV export.

Components

  • Learn–export–analyze loop: learners analyze a trace their own agent generated: The tool's central design pattern is a learn–export–analyze loop: learners run their own agent, export the complete decision trace as CSV, and analyze it themselves, producing learning curves, value heatmaps, and visitation maps. Learners 'do not analyze a canned dataset' but data 'their own agent generated minutes earlier', making the analysis an act of reflection on their own experiment rather than an exercise on foreign data. (Jueng (2026))

Claims

Key Sources

  • Jueng, Ekkachai. (2026). Q-Learning Lab: Teaching Reinforcement Learning Through Learner-Generated Trace Analysis. https://arxiv.org/abs/2607.10802. doi:10.48550/arxiv.2607.10802
Page metadata
Field Value
type product
id q-learning-lab
title Q-Learning Lab
description Q-Learning Lab is a single-file, offline bilingual browser tool made by Jueng for teaching introductory tabular Q-learning through an interactive gridworld, Bellman-update visualizations, transition logs, and CSV export.
status review
product_kind software
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content

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