WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. - Qisong Yang; Thiago D. Simão; Simon H. Tindemans; Matthijs T. J. Spaan (AAAI, 2021)

A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning. - Danial Kamran; Thiago D. Simão; Qisong Yang; Canmanie T. Ponnambalam; Johannes Fischer 007; Matthijs T. J. Spaan; Martin Lauer (ITSC, 2022)

CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration. - Qisong Yang; Matthijs T. J. Spaan (AAAI, 2023)

Reinforcement Learning by Guided Safe Exploration. - Qisong Yang; Thiago D. Simão; Nils Jansen 001; Simon H. Tindemans; Matthijs T. J. Spaan (ECAI, 2023)

Subtask-masked curriculum learning for reinforcement learning with application to UAV maneuver decision-making. - Yueqi Hou; Xiaolong Liang; Maolong Lv; Qisong Yang; Yang Li 093 (Eng. Appl. Artif. Intell., 2023)

Safety-constrained reinforcement learning with a distributional safety critic. - Qisong Yang; Thiago D. Simão; Simon H. Tindemans; Matthijs T. J. Spaan (Mach. Learn., 2023)

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System. - Ruining Zhang; Haoran Han; Maolong Lv; Qisong Yang; Jian Cheng 003 (AAAI, 2024)

Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control. - Bin Du; Wei Xie 009; Yang Li 093; Qisong Yang; Weidong Zhang 004; Rudy R. Negenborn; Yusong Pang; Hongtian Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Human-aligned Safe Reinforcement Learning for Highway On-Ramp Merging in Dense Traffic. - Yang Li; Shijie Yuan; Yuan Chang; Xiaolong Chen; Qisong Yang; Zhiyuan Yang; Hongmao Qin (CoRR, 2025)