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Shangding Gu
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2020 – today
- 2024
- [j8]Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Alois Knoll:
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11216-11235 (2024) - [j7]Jiayi Guan
, Shangding Gu, Zhijun Li
UAC: Offline Reinforcement Learning With Uncertain Action Constraint. IEEE Trans. Cogn. Dev. Syst. 16(2): 671-680 (2024) - [j6]Jing Hou
Hybrid Residual Multiexpert Reinforcement Learning for Spatial Scheduling of High-Density Parking Lots. IEEE Trans. Cybern. 54(5): 2771-2783 (2024) - [j5]Shangding Gu
Safe Multiagent Learning With Soft Constrained Policy Optimization in Real Robot Control. IEEE Trans. Ind. Informatics 20(9): 10706-10716 (2024) - [c3]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll:
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. AAAI 2024: 21099-21106 - [i15]Shangding Gu:
Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Case Study. CoRR abs/2401.06603 (2024) - [i14]Shangding Gu, Alois Knoll, Ming Jin:
TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning. CoRR abs/2403.08694 (2024) - [i13]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll:
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. CoRR abs/2405.01677 (2024) - [i12]Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin:
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. CoRR abs/2405.16390 (2024) - [i11]Zhi Zheng, Shangding Gu:
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving. CoRR abs/2405.18209 (2024) - [i10]Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin:
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. CoRR abs/2405.20860 (2024) - [i9]Ruiqi Zhang, Jing Hou, Florian Walter, Shangding Gu, Jiayi Guan, Florian Röhrbein, Yali Du, Panpan Cai, Guang Chen, Alois Knoll:
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey. CoRR abs/2408.09675 (2024) - 2023
- [j4]Shangding Gu
Safe multi-agent reinforcement learning for multi-robot control. Artif. Intell. 319: 103905 (2023) - [j3]Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Jan Peters, Alois Knoll:
A human-centered safe robot reinforcement learning framework with interactive behaviors. Frontiers Neurorobotics 17 (2023) - [i8]Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Yaodong Yang, Jan Peters, Alois C. Knoll:
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors. CoRR abs/2302.13137 (2023) - [i7]Jaafar Mhamed, Shangding Gu:
SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization. CoRR abs/2311.00880 (2023) - [i6]Jing Hou, Guang Chen, Ruiqi Zhang, Zhijun Li, Shangding Gu, Changjun Jiang:
Spreeze: High-Throughput Parallel Reinforcement Learning Framework. CoRR abs/2312.06126 (2023) - 2022
- [j2]Shangding Gu, Guang Chen, Lijun Zhang, Jing Hou, Yingbai Hu, Alois C. Knoll:
Constrained Reinforcement Learning for Vehicle Motion Planning with Topological Reachability Analysis. Robotics 11(4): 81 (2022) - [j1]Tianpei Zou, Guang Chen
KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud. IEEE Trans. Artif. Intell. 3(2): 207-217 (2022) - [i5]Man Zhu, Changshi Xiao, Shangding Gu, Zhe Du, Yuanqiao Wen:
A Circle Grid-based Approach for Obstacle Avoidance Motion Planning of Unmanned Surface Vehicles. CoRR abs/2202.04494 (2022) - [i4]Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang
A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR abs/2205.10330 (2022) - 2021
- [c2]Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang:
Settling the Variance of Multi-Agent Policy Gradients. NeurIPS 2021: 13458-13470 - [i3]Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang:
Settling the Variance of Multi-Agent Policy Gradients. CoRR abs/2108.08612 (2021) - [i2]Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang:
Multi-Agent Constrained Policy Optimisation. CoRR abs/2110.02793 (2021) - 2020
- [c1]Fan Lu, Guang Chen, Jinhu Dong, Xiaoding Yuan, Shangding Gu, Alois C. Knoll:
Pole-based Localization for Autonomous Vehicles in Urban Scenarios Using Local Grid Map-based Method. ICARM 2020: 640-645 - [i1]Chunhui Zhou, Shangding Gu, Yuanqiao Wen, Zhe Du, Changshi Xiao, Liang Huang, Man Zhu:
The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint. CoRR abs/2007.01691 (2020)
Coauthor Index
aka: Alois Knoll
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