Lingping Gao

According to our database, Lingping Gao authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios With Multiagent Reinforcement Learning.

Weiwei Liu, Wenxuan Hu, Wei Jing, Lanxin Lei, Lingping Gao, Yong Liu

IEEE Syst. J., March, 2025

2024

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning.

Weiwei Liu, Wenxuan Hu, Wei Jing, Lanxin Lei, Lingping Gao, Yong Liu

CoRR, 2024

2023

Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning.

Ziqing Gu, Lingping Gao, Haitong Ma, Shengbo Eben Li, Sifa Zheng, Wei Jing, Junbo Chen

IEEE Trans. Intell. Transp. Syst., September, 2023

Monocular Camera-Based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning.

Jianchuan Ding, Lingping Gao, Wenxi Liu, Haiyin Piao, Jia Pan, Zhenjun Du, Xin Yang, Baocai Yin

IEEE Trans. Circuits Syst. Video Technol., February, 2023

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.

Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu

CoRR, 2023

Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning.

Ke Guo, Wei Jing, Lingping Gao, Weiwei Liu, Weizi Li, Jia Pan

CoRR, 2023

TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning.

Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu

Proceedings of the Conference on Robot Learning, 2023

2022

An Intelligent Self-Driving Truck System for Highway Transportation.

Dawei Wang, Lingping Gao, Ziquan Lan, Wei Li, Jiaping Ren, Jiahui Zhang, Peng Zhang, Pei Zhou, Shengao Wang, Jia Pan, Dinesh Manocha, Ruigang Yang

Frontiers Neurorobotics, 2022

Cola-HRL: Continuous-Lattice Hierarchical Reinforcement Learning for Autonomous Driving.

Lingping Gao, Ziqing Gu, Cong Qiu, Lanxin Lei, Shengbo Eben Li, Sifa Zheng, Wei Jing, Junbo Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning.

Lingping Gao, Jianchuan Ding, Wenxi Liu, Haiyin Piao, Yuxin Wang, Xin Yang, Baocai Yin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021