https://github.com/mohammedrashithkp/drlforsnakegame

This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.
https://github.com/mohammedrashithkp/drlforsnakegame

deep-reinforcement-learning matplotlib-pyplot numpy pygame python

Last synced: about 1 month ago
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This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.

• Host: GitHub
• URL: https://github.com/mohammedrashithkp/drlforsnakegame
• Owner: mohammedrashithkp
• License: mit
• Created: 2025-02-22T20:35:40.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-02-23T07:20:32.000Z (9 months ago)
• Last Synced: 2025-02-23T07:28:28.384Z (9 months ago)
• Topics: deep-reinforcement-learning, matplotlib-pyplot, numpy, pygame, python
• Language: Python
• Homepage:
• Size: 10.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Deep Reinforcemnet Learning For Snake Game

This project utilises a Deep Reinforcement Learning specifically Q learning implemented using PyTorch which learns the game by interacting with the pygame environment .I have followed a tutorial on Freecodecamp YouTube Channel and made the initial model.

## Demo Training Video

https://github.com/user-attachments/assets/0c2ae865-a5fc-4299-8c31-3a7e7a47a919

## Working [TODO]

## How to Use

1. Clone and Change to the project directory by running

```bash

git clone https://github.com/mohammedrashithkp/RNN-for-Snake-Game.git && cd RNN-for-Snake-Game

```

2. Install the dependencies by running

```

pip install -r requirements.txt

```

3.Run the Program 

``` bash

python agent.py

``` 

## Current Highscore Obtained

![Reward for 1000 Runs_page-0001](https://github.com/user-attachments/assets/ae1c21f2-e94f-4adc-a079-a6b92723aa6b)

## References

- [FCC YT Tutorial](https://youtu.be/L8ypSXwyBds?feature=shared)

- [Pygame Tutorial](https://youtu.be/FfWpgLFMI7w?feature=shared)

- [Pytorch Tutorial](https://youtu.be/V_xro1bcAuA?feature=shared)