Shangding Gu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Keypoint Matching

Obstacle Avoidance

Reinforcement Learning

Motion Planning

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Cogn. Dev. Syst.

Frontiers Neurorobotics

Publications

Zhi Zheng, Shangding Gu
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving. CoRR (2024)
Jing Hou, Guang Chen, Zhijun Li, Wei He, Shangding Gu, Alois Knoll, Changjun Jiang
Hybrid Residual Multiexpert Reinforcement Learning for Spatial Scheduling of High-Density Parking Lots. IEEE Trans. Cybern. 54 (5) (2024)
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)
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 (2024)
Shangding Gu
Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Case Study. CoRR (2024)
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 (2024)
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 (2024)
Jiayi Guan, Shangding Gu, Zhijun Li, Jing Hou, Yiqin Yang, Guang Chen, Changjun Jiang
UAC: Offline Reinforcement Learning With Uncertain Action Constraint. IEEE Trans. Cogn. Dev. Syst. 16 (2) (2024)
Shangding Gu, Alois Knoll, Ming Jin
TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning. CoRR (2024)
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang
Safe multi-agent reinforcement learning for multi-robot control. Artif. Intell. 319 (2023)
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 (2023)
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)
Jing Hou, Guang Chen, Ruiqi Zhang, Zhijun Li, Shangding Gu, Changjun Jiang
Spreeze: High-Throughput Parallel Reinforcement Learning Framework. CoRR (2023)
Jaafar Mhamed, Shangding Gu
SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization. CoRR (2023)
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 (2022)
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll
A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR (2022)
Tianpei Zou, Guang Chen, Zhijun Li, Wei He, Sanqing Qu, Shangding Gu, Alois C. Knoll
KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud. IEEE Trans. Artif. Intell. 3 (2) (2022)
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) (2022)
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 (2021)
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 (2021)
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)
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)
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 (2020)