Automated ingestion of prompt: Build a DDQN Snake Game with TensorFlow.js in a Single HTML File
This commit is contained in:
parent
f39b6af69a
commit
b5e5a72bbf
|
|
@ -0,0 +1,23 @@
|
|||
---
|
||||
title: "Build a DDQN Snake Game with TensorFlow.js in a Single HTML File"
|
||||
contributor: "@niels@wwx.be"
|
||||
tags: #coding, #nielswwxbe
|
||||
---
|
||||
|
||||
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.
|
||||
Loading…
Reference in New Issue