Analyzing the Suitability of Cost Functions for Explaining and Imitating Human Driving Behavior based on Inverse Reinforcement Learning
Maximilian Naumann,Liting Sun,Wei Zhan,Masayoshi Tomizuka,Maximilian Naumann,Liting Sun,Wei Zhan,Masayoshi Tomizuka
Autonomous vehicles are sharing the road with human drivers. In order to facilitate interactive driving and cooperative behavior in dense traffic, a thorough understanding and representation of other traffic participants' behavior are necessary. Cost functions (or reward functions) have been widely used to describe the behavior of human drivers since they can not only explicitly incorporate the ra...
