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:
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Updated
May 20, 2023 - Python
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:
Intersection Gym environment in CARLA Town 3
Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.
Dockerized Container Architecture for Parallel Training of CARLA Gym Environments
Self-Driving Car in CARLA Tested a self-driving agent with raw rgb input using PPO (baseline), then Behavior Cloning with expert RGB+segmentation data on a custom 5-channel ResNet18. Final SAC policy fine-tuned on top for robust performance.
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