Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
Train multiple self-driving cars in various scenarios using a simulator designed for deep reinforcement learning.
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Free · no card · unsubscribe anytimeMulti-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
macad-gym has 374 stars on GitHub. It has been forked 77 times. macad-gym is written mainly in Python. It has been in active development since 2019. macad-gym is available under the MIT license. Its main topics are autonomous-driving, carla, carla-driving-simulator, carla-gym.
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
macad-gym is an open-source project. It is released under the MIT license.
Yes. macad-gym is free and open source — you can use, modify and self-host it.
macad-gym is available under the MIT license.
macad-gym is written mainly in Python.
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