dAiv Reinforcement Learning Basics

Dependencies

To run this project, ensure Python 3.10 or later is installed. Follow the steps below to set up the environment:

Reproduction

Clone this repo

git clone https://github.com/dAiv-CNU/dAiv.AI-Lecture.DQN dqn
cd dqn

Install Required Packages

pip install --upgrade uv
uv sync

Install PyTorch

For NVIDIA GPUs (CUDA versions):

CUDA 11.8

uv add torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 --frozen

CUDA 12.1

uv add torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 --frozen

CUDA 12.4

uv add torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124 --frozen

using Mac or Window cpu environment

uv add torch torchvision torchaudio

How to Run

1. Play the Snake Game

Run the playable snake game:

python -m snakegame normal

2. Evolutionary Snake Game

Use genetic algorithms to evolve the snake:

python -m snakegame genetic

3. Deep Q-Learning Snake Game

Run the DQN-based snake AI:

python -m snakegame dqn

Credits

Snake game code by HonzaKral: https://gist.github.com/HonzaKral/833ee2b30231c53ec78e