Pole-based Localization for Autonomous Vehicles in Urban Scenarios Using Local Grid Map-based Method. - Fan Lu 001; Guang Chen 001; Jinhu Dong; Xiaoding Yuan; Shangding Gu; Alois C. Knoll (ICARM, 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 008; Man Zhu (CoRR, 2020)

Settling the Variance of Multi-Agent Policy Gradients. - Jakub Grudzien Kuba; Muning Wen; Linghui Meng 001; Shangding Gu; Haifeng Zhang 002; David Mguni; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2021)

Multi-Agent Constrained Policy Optimisation. - Shangding Gu; Jakub Grudzien Kuba; Muning Wen; Ruiqing Chen; Ziyan Wang; Zheng Tian 002; Jun Wang 012; Alois C. Knoll; Yaodong Yang 001 (CoRR, 2021)

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)

A Review of Safe Reinforcement Learning: Methods, Theory and Applications. - Shangding Gu; Long Yang 004; Yali Du 001; Guang Chen 001; Florian Walter; Jun Wang 012; Yaodong Yang 001; Alois C. Knoll (CoRR, 2022)

Constrained Reinforcement Learning for Vehicle Motion Planning with Topological Reachability Analysis. - Shangding Gu; Guang Chen 001; Lijun Zhang; Jing Hou; Yingbai Hu; Alois C. Knoll (Robotics, 2022)

KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud. - Tianpei Zou; Guang Chen 001; Zhijun Li 001; Wei He 001; Sanqing Qu; Shangding Gu; Alois C. Knoll (IEEE Trans. Artif. Intell., 2022)

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors. - Shangding Gu; Alap Kshirsagar; Yali Du 001; Guang Chen 001; Yaodong Yang 001; Jan Peters 001; Alois C. Knoll (CoRR, 2023)

SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization. - Jaafar Mhamed; Shangding Gu (CoRR, 2023)

Safe multi-agent reinforcement learning for multi-robot control. - Shangding Gu; Jakub Grudzien Kuba; Yuanpei Chen; Yali Du 001; Long Yang 004; Alois C. Knoll; Yaodong Yang 001 (Artif. Intell., 2023)

A human-centered safe robot reinforcement learning framework with interactive behaviors. - Shangding Gu; Alap Kshirsagar; Yali Du 001; Guang Chen 001; Jan Peters 001; Alois Knoll (Frontiers Neurorobotics, 2023)

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. - Shangding Gu; Bilgehan Sel; Yuhao Ding; Lu Wang 029; Qingwei Lin; Ming Jin 002; Alois Knoll (AAAI, 2024)

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. - Shangding Gu; Laixi Shi; Yuhao Ding; Alois Knoll; Costas J. Spanos; Adam Wierman; Ming Jin 002 (NeurIPS, 2024)

Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Case Study. - Shangding Gu (CoRR, 2024)

TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning. - Shangding Gu; Alois Knoll; Ming Jin 002 (CoRR, 2024)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving. - Zhi Zheng; Shangding Gu (CoRR, 2024)

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey. - Ruiqi Zhang; Jing Hou; Florian Walter; Shangding Gu; Jiayi Guan; Florian Röhrbein; Yali Du 001; Panpan Cai; Guang Chen 001; Alois Knoll (CoRR, 2024)

TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning. - Shangding Gu; Alois Knoll; Ming Jin 002 (Trans. Mach. Learn. Res., 2024)

UAC: Offline Reinforcement Learning With Uncertain Action Constraint. - Jiayi Guan; Shangding Gu; Zhijun Li 001; Jing Hou; Yiqin Yang; Guang Chen 001; Changjun Jiang (IEEE Trans. Cogn. Dev. Syst., 2024)

Hybrid Residual Multiexpert Reinforcement Learning for Spatial Scheduling of High-Density Parking Lots. - Jing Hou; Guang Chen 001; Zhijun Li 001; Wei He 001; Shangding Gu; Alois Knoll; Changjun Jiang (IEEE Trans. Cybern., 2024)

Safe Multiagent Learning With Soft Constrained Policy Optimization in Real Robot Control. - Shangding Gu; Dianye Huang; Muning Wen; Guang Chen 001; Alois Knoll (IEEE Trans. Ind. Informatics, 2024)

A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. - Shangding Gu; Long Yang 004; Yali Du 001; Guang Chen 001; Florian Walter; Jun Wang 012; Alois Knoll (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. - Shangding Gu; Laixi Shi; Muning Wen; Ming Jin 002; Eric Mazumdar; Yuejie Chi; Adam Wierman; Costas J. Spanos (ICLR, 2025)

ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds. - Shangding Gu; Puze Liu; Alap Kshirsagar; Guang Chen 001; Jan Peters 001; Alois Knoll (IEEE Trans Autom. Sci. Eng., 2025)

Reward-Safety Balance in Offline Safe RL via Diffusion Regularization. - Junyu Guo; Zhi Zheng; Donghao Ying; Ming Jin 002; Shangding Gu; Costas J. Spanos; Javad Lavaei (CoRR, 2025)

Spreeze: High-Throughput Parallel Reinforcement Learning Framework. - Jing Hou; Guang Chen 001; Ruiqi Zhang; Zhijun Li 001; Shangding Gu; Changjun Jiang (IEEE Trans. Parallel Distributed Syst., 2025)

Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics. - Josip Josifovski; Shangding Gu; Mohammadhossein Malmir; Haoliang Huang; Sayantan Auddy; Nicolás Navarro-Guerrero; Costas J. Spanos; Alois Knoll (CoRR, 2025)

Safe Multiagent Reinforcement Learning With Bilevel Optimization in Autonomous Driving. - Zhi Zheng; Shangding Gu (IEEE Trans. Artif. Intell., 2025)

RLBenchNet: The Right Network for the Right Reinforcement Learning Task. - Ivan Smirnov; Shangding Gu (CoRR, 2025)

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond. - Shangding Gu; Donghao Ying; Ming Jin 002; Yu Joe Lu; Jun Wang 012; Javad Lavaei; Costas J. Spanos (CoRR, 2025)

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. - Shangding Gu; Bilgehan Sel; Yuhao Ding; Lu Wang 029; Qingwei Lin; Alois Knoll; Ming Jin 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Data Uniformity Improves Training Efficiency and More, with a Convergence Framework Beyond the NTK Regime. - Yuqing Wang; Shangding Gu (CoRR, 2025)

Agentic Web: Weaving the Next Web with AI Agents. - Yingxuan Yang; Mulei Ma; Yuxuan Huang; Huacan Chai; Chenyu Gong; Haoran Geng; Yuanjian Zhou; Ying Wen 001; Meng Fang; Muhao Chen 001; Shangding Gu; Ming Jin 002; et al. (CoRR, 2025)