[RL ENV] 강화학습 자동차 환경

자율주행을 강화학습으로 해보고 싶은 사람들에게 유용한 환경일 것 같아서 공유합니다.

 

 

 

 

https://decisionforce.github.io/pgdrive/

 

 

 

 

github.com/decisionforce/pgdrive/releases/download/pgdrive-0.1.1/BIG.mp4

 

 

paper	code
arxiv.org/pdf/2012.13681.pdf	github.com/decisionforce/pgdrive

import pgdrive  # Import this package to register the environment!
import gym

env = gym.make("PGDrive-v0", config=dict(use_render=True))
# env = pgdrive.PGDriveEnv(config=dict(environment_num=100))  # Or build environment from class
env.reset()
for i in range(1000):
    obs, reward, done, info = env.step(env.action_space.sample())  # Use random policy
    env.render()
    if done:
        env.reset()
env.close()

 
simple car env
https://github.com/eleurent/highway-env