Learning Interactive Driving Policies via Data-driven Simulation
Tsun-Hsuan Wang,Alexander Amini,Wilko Schwarting,Igor Gilitschenski,Sertac Karaman,Daniela Rus,Tsun-Hsuan Wang,Alexander Amini,Wilko Schwarting,Igor Gilitschenski,Sertac Karaman,Daniela Rus
Data-driven simulators promise high data-efficiency for driving policy learning. When used for modelling interactions, this data-efficiency becomes a bottleneck: small underlying datasets often lack interesting and challenging edge cases for learning interactive driving. We address this challenge by proposing a data-driven simulation engine† that uses inpainted ado vehicles for learning robust dri...
