Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles
Zhitao Wang,Yuzheng Zhuang,Qiang Gu,Dong Chen,Hongbo Zhang,Wulong Liu,Zhitao Wang,Yuzheng Zhuang,Qiang Gu,Dong Chen,Hongbo Zhang,Wulong Liu
For autonomous vehicles integrating onto road-ways with human traffic participants, it requires understanding and adapting to the participants’ intention by responding in predictable ways. This paper proposes a reinforcement learning based negotiation-aware motion planning framework, which adopts RL to adjust the driving style of the planner by dynamically modifying the prediction horizon length o...
