Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Shinya Shiroshita,Shirou Maruyama,Daisuke Nishiyama,Mario Ynocente Castro,Karim Hamzaoui,Guy Rosman,Jonathan DeCastro,Kuan-Hui Lee,Adrien Gaidon,Shinya Shiroshita,Shirou Maruyama,Daisuke Nishiyama,Mario Ynocente Castro,Karim Hamzaoui,Guy Rosman,Jonathan DeCastro,Kuan-Hui Lee,Adrien Gaidon
Traffic simulators are important tools in autonomous driving development. While continuous progress has been made to provide developers more options for modeling various traffic participants, tuning these models to increase their behavioral diversity while maintaining quality is often very challenging. This paper introduces an easily-tunable policy generation algorithm for autonomous driving agent...
