Baidu USA LLC

Changchun Liu

Fan Zhu

Qi Kong

Haoyang Fan

Zhongpu Xia

Yaqin Chen

According to an embodiment, a system generates a number of sample trajectories from a trajectory sample space for a driving scenario. The system determines a reward based on a reward model for each of the sample trajectories, where the reward model is generated using a rank based conditional inverse reinforcement learning algorithm. The system ranks the sample trajectories based on the determined rewards. The system determines a highest ranked trajectory based on the ranking. The system selects the highest ranked trajectory to control the ADV autonomously according to the highest ranked trajectory.

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Sunnyvale, CA, United States of America

Changchun Liu