<ul data-eligibleForWebStory="true"><li>The project involves building a Lunar Lander simulation using JavaScript and Deep Q-Learning principles.</li><li>The simulation includes clean visuals, responsive design, and no frameworks.</li><li>The interface features a dark, cosmic color palette with neon gradients for a retro-futuristic look.</li><li>Key components include a Lander class modeling physics and an AI agent built from scratch.</li><li>The AI agent allows for starting/stopping training, viewing episode results, and has a responsive UI.</li><li>The implementation uses plain HTML, CSS, and JS without external dependencies.</li><li>Mutation is utilized instead of gradient descent to simplify code and facilitate learning dynamics.</li><li>The project serves as a learning tool and a fun experiment, with readable and extendable code.</li><li>The user can observe the AI agent fail, learn, and succeed, creating an engaging experience.</li><li>Using HTML5 canvas and a few hundred lines of JavaScript, an entire mini reinforcement learning lab can be built.</li><li>Interested individuals can access the full code on GitHub to explore and experience the project.</li></ul>

Building a Lunar Lander AI with JavaScript + Deep Q-Learning

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