Qi Liu - RankMe

31 papers A* 2A 1Journal 18Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A fault-tolerant target tracking localization algorithm based on extended dimension cubature kalman filter and variational bayesian. Signal Process. Zedong Liang, Lu Liu, Xiaomeng Zhang, Shuo Zhang, Jinliang Ding, Hongli Xu, Xiangyue Zhang, Qi Liu
2026	J	`jnl`	CoRLHF: Reinforcement learning from human feedback with cooperative policy-reward optimization for LLMs. Expert Syst. Appl. Qi Liu, Zhuoyang Song, Yuxin Liang, Zejian Xie, Songxin Zhang, Jiaxing Zhang, YanJie Li
2026	J	`jnl`	Multi-Discounting Reinforcement Learning Based on Reward Decomposition. IEEE Trans. Emerg. Top. Comput. Pengbin Chen, Qi Liu, Yanjie Li, Kejian Yan, Shuangkang Ma
2025	J	`jnl`	CBTMP: Optimizing Multi-Agent Path Finding in Heterogeneous Cooperative Environments. IEEE Robotics Autom. Lett. Jianqi Gao, Yanjie Li, Yongjin Mu, Qi Liu, Haoyao Chen, Yunjiang Lou
2025	J	`jnl`	Distributional Policy Gradient With Distributional Value Function. IEEE Trans. Neural Networks Learn. Syst. Qi Liu, Yanjie Li, Xiongtao Shi, Ke Lin, Yuecheng Liu, Yunjiang Lou
2025	J	`jnl`	Dynamic Legged Ball Manipulation on Rugged Terrains with Hierarchical Reinforcement Learning. CoRR Dongjie Zhu, Zhuo Yang, Tianhang Wu, Luzhou Ge, Xuesong Li, Qi Liu, Xiang Li
2025	A*	`conf`	Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation. ICRA Jianqi Gao, Xizheng Pang, Qi Liu, YanJie Li
2025	J	`jnl`	Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation. CoRR Jianqi Gao, Xizheng Pang, Qi Liu, YanJie Li
2025	J	`jnl`	MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion. CoRR Qi Liu, Xiaopeng Zhang, Mingshan Tan, Shuaikang Ma, Jinliang Ding, YanJie Li
2025	J	`jnl`	Sample-efficient backtrack temporal difference deep reinforcement learning. Knowl. Based Syst. Qi Liu, Pengbin Chen, Ke Lin, Kaidong Zhao, Jinliang Ding, YanJie Li
2024	—	`conf`	A Risk-sensitive Automatic Stock Trading Strategy Based on Deep Reinforcement Learning and Transformer. CASE Linyu Li, Qi Liu, Yanjie Li, Yongjin Mu, Zheng Zhang
2024	J	`jnl`	Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation. Inf. Sci. Ke Lin, YanJie Li, Qi Liu, Duantengchuan Li, Xiongtao Shi, Shiyu Chen
2024	A*	`conf`	An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning. ICRA Pengbin Chen, Qi Liu, YanJie Li, Shuaikang Ma
2024	J	`jnl`	Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning. IEEE Trans. Emerg. Top. Comput. Intell. Qi Liu, Yanjie Li, Yuecheng Liu, Ke Lin, Jianqi Gao, Yunjiang Lou
2024	J	`jnl`	MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion. CoRR Qi Liu, Jingxiang Guo, Sixu Lin, Shuaikang Ma, Jinxuan Zhu, Yanjie Li
2024	J	`jnl`	Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective. CoRR Qi Liu, Jianqi Gao, Dongjie Zhu, Xizheng Pang, Pengbin Chen, Jingxiang Guo, Yanjie Li
2024	J	`jnl`	Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation. IEEE Trans. Intell. Transp. Syst. Zheng Zhang, Qi Liu, Yanjie Li, Ke Lin, Linyu Li
2024	J	`jnl`	TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Qi Liu, Jianqi Gao, Yanrui Jin, Liang Gong
2023	J	`jnl`	A fully distributed adaptive event-triggered control for output regulation of multi-agent systems with directed network. Inf. Sci. Xiongtao Shi, YanJie Li, Qi Liu, Ke Lin, Shiyu Chen
2023	J	`jnl`	Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation. Inf. Sci. Qi Liu, YanJie Li, Shiyu Chen, Ke Lin, Xiongtao Shi, Yunjiang Lou
2023	A	`conf`	Multi-Agent Path Finding with Time Windows: Preliminary Results. AAMAS Jianqi Gao, Qi Liu, Shiyu Chen, Kejian Yan, Xinyi Li, YanJie Li
2022	J	`jnl`	Autonomous vehicle self-localization in urban environments based on 3D curvature feature points - Monte Carlo localization. Robotica Qi Liu, Xiaoguang Di, Binfeng Xu
2022	—	`conf`	Battery Management for Warehouse Robots via Average-Reward Reinforcement Learning. ROBIO Yongjin Mu, YanJie Li, Ke Lin, Ki Deng, Qi Liu
2022	—	`conf`	Decision Making for Autonomous Driving Via Multimodal Transformer and Deep Reinforcement Learning RCAR Wen Fu, YanJie Li, Zhaohui Ye, Qi Liu
2022	—	`conf`	Multi-Robot Real-time Game Strategy Learning based on Deep Reinforcement Learning. ROBIO Ki Deng, YanJie Li, Songshuo Lu, Yongjin Mu, Xizheng Pang, Qi Liu
2021	—	`conf`	A Deep Safe Reinforcement Learning Approach for Mapless Navigation. ROBIO ShaoHua Lv, YanJie Li, Qi Liu, Jianqi Gao, Xizheng Pang, Meiling Chen
2021	—	`conf`	Efficient Power Grid Topology Control via Two-Stage Action Search. ICIRA (3) Yuecheng Liu, Yanjie Li, Qi Liu, Yunhong Xu, ShaoHua Lv, Meiling Chen
2021	—	`conf`	Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation. CASE Qi Liu, YanJie Li, Yuecheng Liu, Meiling Chen, ShaoHua Lv, Yunhong Xu
2021	—	`conf`	Multi-agent Pathfinding with Local and Global Guidance. ICNSC Yunhong Xu, YanJie Li, Qi Liu, Jianqi Gao, Yuecheng Liu, Meiling Chen
2021	—	`conf`	Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning. RCAR Meiling Chen, YanJie Li, Qi Liu, ShaoHua Lv, Yunhong Xu, Yuecheng Liu
2020	—	`conf`	A 3D Simulation Environment and Navigation Approach for Robot Navigation via Deep Reinforcement Learning in Dense Pedestrian Environment. CASE Qi Liu, YanJie Li, Lintao Liu