A 3D Simulation Environment and Navigation Approach for Robot Navigation via Deep Reinforcement Learning in Dense Pedestrian Environment. - Qi Liu 027; Yanjie Li; Lintao Liu (CASE, 2020)

Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation. - Qi Liu 027; Yanjie Li; Yuecheng Liu; Meiling Chen; Shaohua Lv; Yunhong Xu (CASE, 2021)

Efficient Power Grid Topology Control via Two-Stage Action Search. - Yuecheng Liu; Yanjie Li; Qi Liu 027; Yunhong Xu; Shaohua Lv; Meiling Chen (ICIRA (3), 2021)

Multi-agent Pathfinding with Local and Global Guidance. - Yunhong Xu; Yanjie Li; Qi Liu 027; Jianqi Gao; Yuecheng Liu; Meiling Chen (ICNSC, 2021)

Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning. - Meiling Chen; Yanjie Li; Qi Liu 027; Shaohua Lv; Yunhong Xu; Yuecheng Liu (RCAR, 2021)

A Deep Safe Reinforcement Learning Approach for Mapless Navigation. - Shaohua Lv; Yanjie Li; Qi Liu 027; Jianqi Gao; Xizheng Pang; Meiling Chen (ROBIO, 2021)

Decision Making for Autonomous Driving Via Multimodal Transformer and Deep Reinforcement Learning*. - Wen Fu; Yanjie Li; Zhaohui Ye; Qi Liu 027 (RCAR, 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 027 (ROBIO, 2022)

Battery Management for Warehouse Robots via Average-Reward Reinforcement Learning. - Yongjin Mu; Yanjie Li; Ke Lin 001; Ki Deng; Qi Liu 027 (ROBIO, 2022)

Autonomous vehicle self-localization in urban environments based on 3D curvature feature points - Monte Carlo localization. - Qi Liu 027; Xiaoguang Di; Binfeng Xu (Robotica, 2022)

Multi-Agent Path Finding with Time Windows: Preliminary Results. - Jianqi Gao; Qi Liu 027; Shiyu Chen; Kejian Yan; Xinyi Li; Yanjie Li (AAMAS, 2023)

A fully distributed adaptive event-triggered control for output regulation of multi-agent systems with directed network. - Xiongtao Shi; Yanjie Li; Qi Liu 027; Ke Lin 001; Shiyu Chen (Inf. Sci., 2023)

Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation. - Qi Liu 027; Yanjie Li; Shiyu Chen; Ke Lin 001; Xiongtao Shi; Yunjiang Lou (Inf. Sci., 2023)

A Risk-sensitive Automatic Stock Trading Strategy Based on Deep Reinforcement Learning and Transformer. - Linyu Li 013; Qi Liu 027; Yanjie Li; Yongjin Mu; Zheng Zhang (CASE, 2024)

An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning. - Pengbin Chen; Qi Liu 027; Yanjie Li; Shuaikang Ma (ICRA, 2024)

Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective. - Qi Liu 027; Jianqi Gao; Dongjie Zhu; Xizheng Pang; Pengbin Chen; Jingxiang Guo; Yanjie Li (CoRR, 2024)

MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion. - Qi Liu 027; Jingxiang Guo; Sixu Lin; Shuaikang Ma; Jinxuan Zhu; Yanjie Li (CoRR, 2024)

Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation. - Ke Lin 001; Yanjie Li; Qi Liu 027; Duantengchuan Li; Xiongtao Shi; Shiyu Chen (Inf. Sci., 2024)

Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning. - Qi Liu 027; Yanjie Li; Yuecheng Liu; Ke Lin 001; Jianqi Gao; Yunjiang Lou (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning. - Ke Lin 001; Duantengchuan Li; Yanjie Li; Shiyu Chen; Qi Liu 027; Jianqi Gao; Yanrui Jin; Liang Gong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation. - Zheng Zhang; Qi Liu 027; Yanjie Li; Ke Lin 001; Linyu Li 013 (IEEE Trans. Intell. Transp. Syst., 2024)

Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation. - Jianqi Gao; Xizheng Pang; Qi Liu 027; Yanjie Li (CoRR, 2025)

Distributional Policy Gradient With Distributional Value Function. - Qi Liu 027; Yanjie Li; Xiongtao Shi; Ke Lin 001; Yuecheng Liu; Yunjiang Lou (IEEE Trans. Neural Networks Learn. Syst., 2025)

CBTMP: Optimizing Multi-Agent Path Finding in Heterogeneous Cooperative Environments. - Jianqi Gao; Yanjie Li; Yongjin Mu; Qi Liu 027; Haoyao Chen; Yunjiang Lou (IEEE Robotics Autom. Lett., 2025)

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion. - Qi Liu 027; Xiaopeng Zhang; Mingshan Tan; Shuaikang Ma; Jinliang Ding; Yanjie Li (CoRR, 2025)