AI Snake Game with Reinforcement Learning
How can AI learn to play games optimally?
An intelligent Snake game implementation where an AI agent learns optimal gameplay strategies through reinforcement learning algorithms.
PythonPyTorchNumPyOpenAI Gym
This project implements an AI-powered Snake game using reinforcement learning. The AI agent is trained using deep Q-learning to navigate the game board, collect food, and avoid obstacles. Built with PyTorch for neural network training and OpenAI Gym for the game environment, it demonstrates practical applications of machine learning in gaming and showcases how AI can master classic arcade games through iterative learning.