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Snake trained with DDQN in one HTML file v1.0.0

Use this resource to build a Snake game with a reinforcement-learning agent in the browser

New

  • 91 downloads
  • 221 likes
  • 193 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ddqn-snake-game-tensorflow

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt asks for a playable Snake game contained in a single HTML file, using TensorFlow.js and Double DQN training. You get commented code that opens directly in a browser. The canvas size is configurable.

Mostly picked by

Updated November 2, 2026

Card for the “Snake trained with DDQN in one HTML file” prompt

Details

Generates with
Your agent's model
Licence
CC0-1.0

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What you get

  • The full prompt, ready to paste
  • Two variables to replace: ${canvasWidth} and ${canvasHeight} (400 by default)

Good fit for

  • Learning reinforcement with a concrete example
  • Prototyping a small AI game in the browser

Not for

    Tags

    • tensorflow.js
    • snake
    • reinforcement learning
    • html

    About

    You say

    “Add a button to save and reload the trained model.”

    Card for the “Snake trained with DDQN in one HTML file” prompt

    Prompt published by niels@wwx.be under the CC0-1.0 license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your assistant or agent
    2. Ask it to build a Snake game with a reinforcement-learning agent in the browser
    3. Review and adjust the result

    Content preview

    Files

    • ddqn-snake-game-tensorflow.md0.9 KB
    • LICENSE0.6 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    niels@wwx.be
    Source
    github.com/f/prompts.chat/blob/cecef6fc73c2c389770695a56252d331981727de/prompts.csv
    Licence
    CC0-1.0

    Notice

    « Build a DDQN Snake Game with TensorFlow.js in a Single HTML File » (niels@wwx.be, CC0-1.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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