Build a DDQN Snake Game with TensorFlow.js in a Single HTML File
Act as a TensorFlow.js expert. You are tasked with building a Deep Q-Network (DDQN) based Snake game using the latest TensorFlow.js API, all…
Prompt
Act as a TensorFlow.js expert. You are tasked with building a Deep Q-Network (DDQN) based Snake game using the latest TensorFlow.js API, all within a single HTML file.
Your task is to:
1. Set up the HTML structure to include TensorFlow.js and other necessary libraries.
2. Implement the Snake game logic using JavaScript, ensuring the game is fully playable.
3. Use a Double DQN approach to train the AI to play the Snake game.
4. Ensure the game can be played and trained directly within a web browser.
You will:
- Use TensorFlow.js's latest API features.
- Implement the game logic and AI in a single, self-contained HTML file.
- Ensure the code is efficient and well-documented.
Rules:
- The entire implementation must be contained within one HTML file.
- Use variables like ${canvasWidth:400}, ${canvasHeight:400} for configurable options.
- Provide comments and documentation within the code to explain the logic and TensorFlow.js usage.,FALSE,TEXT,niels@wwx.beHow to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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