Qi Liu

According to our database, Qi Liu authored at least 25 papers between 2020 and 2025.

Collaborative distances:

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

2025

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion.

Qi Liu, Xiaopeng Zhang, Mingshan Tan, Shuaikang Ma, Jinliang Ding, Yanjie Li

CoRR, August, 2025

CBTMP: Optimizing Multi-Agent Path Finding in Heterogeneous Cooperative Environments.

Jianqi Gao, Yanjie Li, Yongjin Mu, Qi Liu, Haoyao Chen, Yunjiang Lou

IEEE Robotics Autom. Lett., May, 2025

Distributional Policy Gradient With Distributional Value Function.

Qi Liu, Yanjie Li, Xiongtao Shi, Ke Lin, Yuecheng Liu, Yunjiang Lou

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

Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation.

Jianqi Gao, Xizheng Pang, Qi Liu, Yanjie Li

CoRR, March, 2025

2024

Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation.

Zheng Zhang, Qi Liu, Yanjie Li, Ke Lin, Linyu Li

IEEE Trans. Intell. Transp. Syst., October, 2024

TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning.

Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Qi Liu, Jianqi Gao, Yanrui Jin, Liang Gong

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning.

Qi Liu, Yanjie Li, Yuecheng Liu, Ke Lin, Jianqi Gao, Yunjiang Lou

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation.

Ke Lin, Yanjie Li, Qi Liu, Duantengchuan Li, Xiongtao Shi, Shiyu Chen

Inf. Sci., 2024

MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion.

Qi Liu, Jingxiang Guo, Sixu Lin, Shuaikang Ma, Jinxuan Zhu, Yanjie Li

CoRR, 2024

Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective.

Qi Liu, Jianqi Gao, Dongjie Zhu, Xizheng Pang, Pengbin Chen, Jingxiang Guo, Yanjie Li

CoRR, 2024

An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning.

Pengbin Chen, Qi Liu, Yanjie Li, Shuaikang Ma

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Risk-sensitive Automatic Stock Trading Strategy Based on Deep Reinforcement Learning and Transformer.

Linyu Li, Qi Liu, Yanjie Li, Yongjin Mu, Zheng Zhang

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation.

Qi Liu, Yanjie Li, Shiyu Chen, Ke Lin, Xiongtao Shi, Yunjiang Lou

Inf. Sci., October, 2023

A fully distributed adaptive event-triggered control for output regulation of multi-agent systems with directed network.

Xiongtao Shi, Yanjie Li, Qi Liu, Ke Lin, Shiyu Chen

Inf. Sci., May, 2023

Multi-Agent Path Finding with Time Windows: Preliminary Results.

Jianqi Gao, Qi Liu, Shiyu Chen, Kejian Yan, Xinyi Li, Yanjie Li

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Autonomous vehicle self-localization in urban environments based on 3D curvature feature points - Monte Carlo localization.

Qi Liu, Xiaoguang Di, Binfeng Xu

Robotica, 2022

Battery Management for Warehouse Robots via Average-Reward Reinforcement Learning.

Yongjin Mu, Yanjie Li, Ke Lin, Ki Deng, Qi Liu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Multi-Robot Real-time Game Strategy Learning based on Deep Reinforcement Learning.

Ki Deng, Yanjie Li, Songshuo Lu, Yongjin Mu, Xizheng Pang, Qi Liu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Decision Making for Autonomous Driving Via Multimodal Transformer and Deep Reinforcement Learning^*.

Wen Fu, Yanjie Li, Zhaohui Ye, Qi Liu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

2021

A Deep Safe Reinforcement Learning Approach for Mapless Navigation.

Shaohua Lv, Yanjie Li, Qi Liu, Jianqi Gao, Xizheng Pang, Meiling Chen

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning.

Meiling Chen, Yanjie Li, Qi Liu, Shaohua Lv, Yunhong Xu, Yuecheng Liu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Multi-agent Pathfinding with Local and Global Guidance.

Yunhong Xu, Yanjie Li, Qi Liu, Jianqi Gao, Yuecheng Liu, Meiling Chen

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Efficient Power Grid Topology Control via Two-Stage Action Search.

Yuecheng Liu, Yanjie Li, Qi Liu, Yunhong Xu, Shaohua Lv, Meiling Chen

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation.

Qi Liu, Yanjie Li, Yuecheng Liu, Meiling Chen, Shaohua Lv, Yunhong Xu

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

A 3D Simulation Environment and Navigation Approach for Robot Navigation via Deep Reinforcement Learning in Dense Pedestrian Environment.

Qi Liu, Yanjie Li, Lintao Liu

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020