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Titel:

Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Dang, Ni; Shi, Tao; Zhang, Zengjie; Jin, Wanxin; Leibold, Marion; Buss, Martin
Stichworte:
Stochastic processes; Reinforcement learning; Cost function; Entropy; Trajectory; Autonomous vehicles; Matlab
Kongress- / Buchtitel:
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Jahr:
2023
Seiten:
2887-2892
Volltext / DOI:
doi:10.1109/ITSC57777.2023.10422706
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