Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Train a virtual car to drive itself using a realistic driving simulator.
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Free · no card · unsubscribe anytimeDeep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning has 561 stars on GitHub. It has been forked 100 times. Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning is written mainly in Python. It has been in active development since 2022. Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning is available under the MIT license. Its main topics are autonomous-driving, carla-driving-simulator, carla-environment, carla-simulator.
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning is an open-source project. It is released under the MIT license.
Yes. Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning is free and open source — you can use, modify and self-host it.
Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning is available under the MIT license.
Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning is written mainly in Python.
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