https://github.com/datarohit/ai-mario-game

This is a Deep-Q Learning [Stable Baseline] based AI Mario Game where the Model Incrementally Learns and Improves to Play the Game.
https://github.com/datarohit/ai-mario-game

deep-learning mario-game ppo-pytorch python tensorboard

Last synced: 7 days ago
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This is a Deep-Q Learning [Stable Baseline] based AI Mario Game where the Model Incrementally Learns and Improves to Play the Game.

• Host: GitHub
• URL: https://github.com/datarohit/ai-mario-game
• Owner: DataRohit
• Created: 2023-12-08T15:14:59.000Z (11 months ago)
• Default Branch: master
• Last Pushed: 2024-01-07T12:19:46.000Z (10 months ago)
• Last Synced: 2024-01-07T13:29:33.389Z (10 months ago)
• Topics: deep-learning, mario-game, ppo-pytorch, python, tensorboard
• Language: Jupyter Notebook
• Homepage:
• Size: 261 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# **AI-Mario-Game**

### **1. Setup the Python Virtual Env**

```bash

$ python -m venv venv

$ venv\Scripts\activate

```

### **2. Install Requirements**

```bash

$ pip install setuptools==65.5.0 pip==21 wheel==0.38.0

$ pip install -r requirements.txt

```

### **3. Run the Python Notebooks**

 - Run the code cells one by one to get the output

 - NOTE: The model training can take hours

**Credits [Nicholas Renotte](https://www.youtube.com/@NicholasRenotte)**