TextTensorFlow.js DDQN Snake Game
Text
TensorFlow.js DDQN Snake Game
Generate a playable Snake game and train a Double DQN agent in a single, self-contained HTML file.
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.
How to use
可调整画布宽高,让模型按你的页面尺寸生成可运行的 HTML。
Details
- Type
- Text
- Source
- niels@wwx.be
- License
- CC0-1.0