Luntong Li

According to our database, Luntong Li authored at least 12 papers between 2017 and 2026.

Collaborative distances:

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

2026

SERF: Spatiotemporal-Aware Event-RGB Fusion for Steering Angle Prediction.

Canming Xia, Peixi Peng, Haoran Xu, Guang Tan, Luntong Li, Yonghong Tian

IEEE Trans. Intell. Transp. Syst., April, 2026

COVR:Collaborative Optimization of VLMs and RL Agent for Visual-Based Control.

Canming Xia, Peixi Peng, Guang Tan, Zhan Su, Haoran Xu, Zhenxian Liu, Luntong Li

CoRR, January, 2026

COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control.

Canming Xia, Peixi Peng, Guang Tan, Zhan Su, Haoran Xu, Zhenxian Liu, Luntong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Boosting On-Policy Actor-Critic With Shallow Updates in Critic.

Luntong Li, Yuanheng Zhu

IEEE Trans. Neural Networks Learn. Syst., March, 2025

VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning.

Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Luntong Li, Yonghong Tian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction.

Haoran Xu, Peixi Peng, Xinyi Zhang, Guang Tan, Yaokun Li, Shuaixian Wang, Luntong Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A fuzzy logic constrained particle swarm optimization algorithm for industrial design problems.

Bo Sun, Peixi Peng, Guang Tan, Mingjun Pan, Luntong Li, Yonghong Tian

Appl. Soft Comput., 2024

2023

Soft Contrastive Learning With Q-Irrelevance Abstraction for Reinforcement Learning.

Minsong Liu, Luntong Li, Shuai Hao, Yuanheng Zhu, Dongbin Zhao

IEEE Trans. Cogn. Dev. Syst., September, 2023

2022

Learning Continuous 3-DoF Air-to-Air Close-in Combat Strategy using Proximal Policy Optimization.

Luntong Li, Zhiming Zhou, Jiajun Chai, Zhen Liu, Yuanheng Zhu, Jianqiang Yi

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation.

Luntong Li, Dazi Li, Tianheng Song, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2021

2018

Actor-Critic Learning Control Based on ℓ₂-Regularized Temporal-Difference Prediction With Gradient Correction.

Luntong Li, Dazi Li, Tianheng Song, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Sustainable ℓ2-regularized actor-critic based on recursive least-squares temporal difference learning.

Luntong Li, Dazi Li, Tianheng Song

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017