zengsh-cqupt

awesome-CARLA

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

carla

running carla with RL method

Carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

DRL

gym-carla

An OpenAI gym wrapper for CARLA simulator

LearningByCheating

Driving in CARLA using model-free deep reinforcement learning

macad-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:

tianshou

An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.

zengsh-cqupt/awesome-CARLA

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

zengsh-cqupt/carla

running carla with RL method

zengsh-cqupt/Carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

zengsh-cqupt/DRL

zengsh-cqupt/gym-carla

An OpenAI gym wrapper for CARLA simulator

zengsh-cqupt/LearningByCheating

Driving in CARLA using model-free deep reinforcement learning

zengsh-cqupt/macad-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:

zengsh-cqupt/tianshou

An elegant, flexible, and superfast PyTorch deep Reinforcement Learning platform.