Shangding Gu

According to our database, Shangding Gu authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

UAC: Offline Reinforcement Learning With Uncertain Action Constraint.

Jiayi Guan, Shangding Gu, Zhijun Li, Jing Hou, Yiqin Yang, Guang Chen, Changjun Jiang

IEEE Trans. Cogn. Dev. Syst., April, 2024

TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning.

Shangding Gu, Alois Knoll, Ming Jin

CoRR, 2024

Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Case Study.

Shangding Gu

CoRR, 2024

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.

Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A human-centered safe robot reinforcement learning framework with interactive behaviors.

Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Jan Peters, Alois Knoll

Frontiers Neurorobotics, June, 2023

Safe multi-agent reinforcement learning for multi-robot control.

Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang

Artif. Intell., June, 2023

Spreeze: High-Throughput Parallel Reinforcement Learning Framework.

Jing Hou, Guang Chen, Ruiqi Zhang, Zhijun Li, Shangding Gu, Changjun Jiang

CoRR, 2023

SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization.

Jaafar Mhamed, Shangding Gu

CoRR, 2023

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors.

Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Yaodong Yang, Jan Peters, Alois C. Knoll

CoRR, 2023

2022

KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud.

Tianpei Zou, Guang Chen, Zhijun Li, Wei He, Sanqing Qu, Shangding Gu, Alois C. Knoll

IEEE Trans. Artif. Intell., 2022

Constrained Reinforcement Learning for Vehicle Motion Planning with Topological Reachability Analysis.

Shangding Gu, Guang Chen, Lijun Zhang, Jing Hou, Yingbai Hu, Alois C. Knoll

Robotics, 2022

A Review of Safe Reinforcement Learning: Methods, Theory and Applications.

Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll

CoRR, 2022

A Circle Grid-based Approach for Obstacle Avoidance Motion Planning of Unmanned Surface Vehicles.

Man Zhu, Changshi Xiao, Shangding Gu, Zhe Du, Yuanqiao Wen

CoRR, 2022

2021

Multi-Agent Constrained Policy Optimisation.

Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang

CoRR, 2021

Settling the Variance of Multi-Agent Policy Gradients.

Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint.

Chunhui Zhou, Shangding Gu, Yuanqiao Wen, Zhe Du, Changshi Xiao, Liang Huang, Man Zhu

CoRR, 2020

Pole-based Localization for Autonomous Vehicles in Urban Scenarios Using Local Grid Map-based Method.

Fan Lu, Guang Chen, Jinhu Dong, Xiaoding Yuan, Shangding Gu, Alois C. Knoll

Proceedings of the 5th International Conference on Advanced Robotics and Mechatronics, 2020