Gu, Shangding

6 publications

NeurIPS 2025 Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL Junyu Guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas Spanos, Javad Lavaei

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

AAAI 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

NeurIPS 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas Spanos, Adam Wierman, Ming Jin

TMLR 2024 TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning Shangding Gu, Alois Knoll, Ming Jin

NeurIPS 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