Lanxin Lei

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 7

Top Topics

Reward Function

Reinforcement Learning

Monte Carlo Search

Top Venues

Publications

Weiwei Liu, Wenxuan Hu, Wei Jing, Lanxin Lei, Lingping Gao, Yong Liu
Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning. CoRR (2024)
Lingping Gao, Ziqing Gu, Cong Qiu, Lanxin Lei, Shengbo Eben Li, Sifa Zheng, Wei Jing, Junbo Chen
Cola-HRL: Continuous-Lattice Hierarchical Reinforcement Learning for Autonomous Driving. IROS (2022)
Lanxin Lei, Ruiming Luo, Renjie Zheng, Jingke Wang, Jianwei Zhang, Cong Qiu, Liulong Ma, Liyang Jin, Ping Zhang, Junbo Chen
KB-Tree: Learnable and Continuous Monte-Carlo Tree Search for Autonomous Driving Planning. IROS (2021)
Lichao Wang, Lanxin Lei, Hongli Song, Weibao Wang
The NEOLIX Open Dataset for AutonomousDriving. CoRR (2020)
Lanxin Lei, Zhizhong Li, Dahua Lin
Biased Estimates of Advantages over Path Ensembles. CoRR (2019)
Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. ICLR (Poster) (2019)
Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, Liang Lin
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning. CoRR (2018)