Sanjulavj / Multi-behavior-Learning-for-Socially-Compatible-Autonomous-Driving

Proposed to leverage human driving data to learn a social preference model of human driving using inverse reinforcement learning and then integrated it with reinforcement learning-based Autonomous Vehicles policy synthesis using Social Value Orientation (SVO) theory to learn diverse levels of socially compatible driving.
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How to run the code? #2

Open kongxincaizi opened 2 weeks ago

kongxincaizi commented 2 weeks ago

H, thank you very much for this work. When trying to run the code, I have some questions. In DRL, how to run the code? Start from the sb3_highway.py? And In the sb3_highway.py, "sys.path.insert(0, '/Users/sanjulavj/Desktop/PRj/Test Folder4 Highway/highway-env-1.3/scripts/')" , but there is no 'Test Folder4 Highway/highway-env-1.3/scripts/' in the repository. Looking forward to your reply. Thank you!

Sanjulavj commented 1 week ago

Hi, the scripts folder exists in the repository at https://github.com/Sanjulavj/Multi-behavior-Learning-for-Socially-Compatible-Autonomous-Driving/tree/main/DRL/scripts. Please update your local code path accordingly.