Welcome to the Autonomous-Car-with-Deep-Q-Learning repository! This project focuses on creating a self-driving car using Deep Q-Learning. By leveraging technologies such as convolutional neural networks, reinforcement learning, and deep neural networks, we aim to develop an autonomous agent capable of navigating in diverse environments.
- airsim: Utilizing the AirSim simulator for training and testing
- autonomous-agents: Developing intelligent agents for autonomous tasks
- autonomous-car: Building a self-driving car system
- autonomous-driving: Implementing algorithms for autonomous driving
- autonomous-vehicles: Exploring advancements in autonomous vehicle technologies
- convolutional-neural-networks: Applying CNNs for image recognition and feature extraction
- deep-learning: Utilizing deep learning techniques for model training
- deep-neural-networks: Building complex neural networks for deep learning applications
- deep-q-learning: Implementing the Deep Q-Learning algorithm
- deep-q-network: Constructing Deep Q-Networks for reinforcement learning
- deep-reinforcement-learning: Integrating deep learning with reinforcement learning
- otonom-arac: Enhancing self-driving vehicle capabilities
- python: Utilizing Python programming language for implementation
- pytorch: Leveraging PyTorch for building neural network models
- pytorch-cnn: Using PyTorch for convolutional neural networks
- reinforcement-learning: Implementing reinforcement learning algorithms
- reinforcement-learning-agent: Developing agents based on reinforcement learning techniques
- self-driving-car: Creating autonomous systems for vehicles
- self-learning: Enabling systems to learn and improve autonomously
To access the project files, you can download the repository by clicking on the following link:
Remember to launch the downloaded file for exploration and further development.
In this repository, you will find resources, code snippets, and models related to autonomous driving research. Feel free to delve into the materials provided to enhance your understanding of Deep Q-Learning and its applications in self-driving cars.
If you are interested in contributing to this project, please check the "Releases" section for any updated guidelines or requirements. We welcome contributions from developers, researchers, and enthusiasts looking to advance the field of autonomous vehicles.
For more information on Deep Q-Learning, reinforcement learning, and autonomous systems, you can visit the following websites:
Explore the world of autonomous driving and deep learning with us! 🌟
This project is licensed under the MIT License - see the LICENSE file for details.
Dive into the exciting world of autonomous vehicles and deep learning by exploring the "Autonomous-Car-with-Deep-Q-Learning" repository. Join us on this journey towards developing innovative solutions for self-driving cars powered by Deep Q-Learning! 🚀