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In this video, I teach an AI how to play — and try to beat — the classic casino game of Blackjack. We’ll code the entire game step by step in pure HTML, CSS, and JavaScript, then train an AI agent to learn how to gamble… responsibly. This isn’t just a coding session — it’s a full walkthrough of how reinforcement learning works in practice. You’ll see how the AI starts off completely clueless, learns through trial and error, and gradually builds a strategy that mirrors real blackjack tactics — all without being told the rules. We’ll explore how Q-learning lets the AI “think” about risk, reward, and probability — using a Q-table to decide whether to hit, stand, or bust spectacularly. If you’ve ever wondered how a computer can learn from experience or what reinforcement learning actually looks like in action, this is the perfect project to watch come to life — with code, math, and a bit of luck. We’ll cover everything step by step: • Building the Blackjack game interface from scratch • Programming the card logic, hand values, and dealer rules • Understanding the core mechanics of reinforcement learning • Training the AI with simulated games (episodes) • Visualizing Q-values — how the AI rates every decision • Watching the AI play (and gamble) automatically By the end, you’ll understand how to code your own simple reinforcement-learning AI, what a Q-table is, and why even an optimal AI can’t beat the house forever. Thanks for watching — and if you enjoy AI coding projects, programming tutorials, or just want to see machines try their luck at human games, subscribe to Programmetry for more videos like this. 🎥 Subscribe for more videos like this: / @programmetry 🤖 AI Learns Playlist: • AI Learns Timestamps: 00:00 Introduction 00:25 Phase 1: Coding Blackjack 00:40 Adding Styling 01:06 Game Mechanics 02:12 Playing a Game 02:56 Phase 2: Coding the AI 03:26 Monte Carlo Reinforcement Learning Explained 05:41 Training Max and Viewing Q-Values 06:17 Max Plays Single Rounds 06:42 Max Plays Autonomously 07:14 Increasing Training Episodes 09:12 Conclusion Song: Fading Composer: Sappheiros Website: https://open.spotify.com/artist/5ZVHX... License: Creative Commons (BY 3.0) https://creativecommons.org/licenses/... Music powered by BreakingCopyright: https://breakingcopyright.com #ai #coding #programming #javascript #machinelearning #reinforcementlearning #blackjack #aigambling #webdevelopment #codewithme #programmetry #aiproject #aicoding #creativecoding #codingtutorial #codingforbeginners #aicode #aiprogramming #ailearning #aialgorithms #gamedev #browsergame #artificialintelligence #machinelearningtutorial #aiforbeginners #neuralnetworks #algorithm #codingai #gambling #gamedevelopment #montecarlosimulation #deeplearning #deeplearningproject #aiagents #aigame