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.
☆8Updated last year
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