idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
This project helps automotive engineers and researchers develop and test self-driving car algorithms in a simulated environment. It takes visual data from a virtual city and outputs control commands to navigate a vehicle along a route while avoiding crashes. It's designed for autonomous driving specialists.
535 stars.
Use this if you are an autonomous driving researcher or engineer looking to train and evaluate deep reinforcement learning models for vehicle navigation within a hyper-realistic urban simulator.
Not ideal if you need to deploy real-world autonomous vehicle software or are not working with deep reinforcement learning in simulated environments.
Stars
535
Forks
89
Language
Python
License
MIT
Category
Last pushed
Nov 13, 2025
Commits (30d)
0
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