| A fully distributed adaptive event-triggered control for output regulation of multi-agent systems with directed network X Shi, Y Li, Q Liu, K Lin, S Chen Information Sciences 626, 60-74, 2023 | 12 | 2023 |
| A 3D Simulation Environment and Navigation Approach for Robot Navigation via Deep Reinforcement Learning in Dense Pedestrian Environment Q Liu, Y Li, L Liu 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 10 | 2020 |
| Multi-agent pathfinding with local and global guidance Y Xu, Y Li, Q Liu, J Gao, Y Liu, M Chen 2021 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2021 | 9 | 2021 |
| Decision making for autonomous driving via multimodal transformer and deep reinforcement learning W Fu, Y Li, Z Ye, Q Liu 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2022 | 6 | 2022 |
| Towards autonomous driving decision by combining self-attention and deep reinforcement learning M Chen, Y Li, Q Liu, S Lv, Y Xu, Y Liu 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2021 | 6 | 2021 |
| Autonomous Vehicle Self-localization in Urban Environments based on 3D Curvature Feature Points–Monte Carlo Localization Q Liu, X Di, B Xu Robotica 40 (3), 817-833, 2022 | 5 | 2022 |
| A deep safe reinforcement learning approach for mapless navigation S Lv, Y Li, Q Liu, J Gao, X Pang, M Chen 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1520 …, 2021 | 5 | 2021 |
| Almost surely safe exploration and exploitation for deep reinforcement learning with state safety estimation K Lin, Y Li, Q Liu, D Li, X Shi, S Chen Information Sciences 662, 120261, 2024 | 3 | 2024 |
| Battery management for warehouse robots via average-reward reinforcement learning Y Mu, Y Li, K Lin, K Deng, Q Liu 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 253-258, 2022 | 3 | 2022 |
| Distributional reinforcement learning with epistemic and aleatoric uncertainty estimation Q Liu, Y Li, S Chen, K Lin, X Shi, Y Lou Information Sciences 644, 119217, 2023 | 2 | 2023 |
| TAG: Teacher-advice mechanism with Gaussian process for reinforcement learning K Lin, D Li, Y Li, S Chen, Q Liu, J Gao, Y Jin, L Gong IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Exploration via distributional reinforcement learning with epistemic and aleatoric uncertainty estimation Q Liu, Y Li, Y Liu, M Chen, S Lv, Y Xu 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 2 | 2021 |
| Multi-agent path finding with time windows: Preliminary results J Gao, Q Liu, S Chen, K Yan, X Li, Y Li Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 1 | 2023 |
| Multi-Robot Real-time Game Strategy Learning based on Deep Reinforcement Learning K Deng, Y Li, S Lu, Y Mu, X Pang, Q Liu 2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1192 …, 2022 | 1 | 2022 |
| Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation Z Zhang^{1}, Q Liu^{1}, Y Li, K Lin, L Li IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Multi-Discounting Reinforcement Learning Based on Reward Decomposition P Chen, Q Liu, Y Li, K Yan, S Ma Authorea Preprints, 2024 | | 2024 |
| Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning Q Liu, Y Li, Y Liu, K Lin, J Gao, Y Lou IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | | 2024 |
| Distributional Policy Gradient With Distributional Value Function Q Liu, Y Li, X Shi, K Lin, Y Liu, Y Lou IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective Q Liu, J Gao, D Zhu, P Chen, J Guo, Y Li | | 2024 |
| A Mapless Navigation Method Based on Reinforcement Learning and Local Obstacle Map X Pang, Y Li, Q Liu, K Deng 2022 China Automation Congress (CAC), 5754-5759, 2022 | | 2022 |
