Welcome to the Self-Driving Car DeepQ Learning Neural Network project! 🤖🚗 This repository houses an exciting Python-based implementation of a self-driving car simulation leveraging the power of Deep Q Learning (DQN) neural networks. Imagine a virtual world where our intelligent car not only roams autonomously but learns from its experiences to become an adept driver!
The heart of this project lies in the simulated environment where our self-driving car learns to navigate and make decisions. This environment is crafted using Python and incorporates the principles of Deep Q Learning to enable the car to respond intelligently to its surroundings. The car's decisions are shaped by its training, creating an adaptive and learning-driven driving experience.
The magic happens through the implementation of a Deep Q Learning neural network. This sophisticated network processes information from the simulated environment, allowing the car to make decisions in real-time. As the car interacts with the environment, the neural network learns and refines its decision-making capabilities, paving the way for a smarter and more capable self-driving car.