Falsification-Based Robust Adversarial Reinforcement Learning. - Xiao Wang 046; Saasha Nair; Matthias Althoff (ICMLA, 2020)

Safe Reinforcement Learning for Autonomous Lane Changing Using Set-Based Prediction. - Hanna Krasowski; Xiao Wang 046; Matthias Althoff (ITSC, 2020)

CommonRoad-RL: A Configurable Reinforcement Learning Environment for Motion Planning of Autonomous Vehicles. - Xiao Wang 046; Hanna Krasowski; Matthias Althoff (ITSC, 2021)

Learning to Obey Traffic Rules using Constrained Policy Optimization. - Xiao Wang 046; Christoph Pillmayer; Matthias Althoff (ITSC, 2022)

Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison. - Hanna Krasowski; Jakob Thumm; Marlon Müller; Xiao Wang 046; Matthias Althoff (CoRR, 2022)

Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes. - Niklas Kochdumper; Hanna Krasowski; Xiao Wang 046; Stanley Bak; Matthias Althoff (CoRR, 2022)

Ensuring Safety of Learning-Based Motion Planners Using Control Barrier Functions. - Xiao Wang 046 (IEEE Robotics Autom. Lett., 2022)

Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking. - Hanna Krasowski; Jakob Thumm; Marlon Müller; Lukas Schäfer 004; Xiao Wang 046; Matthias Althoff (Trans. Mach. Learn. Res., 2023)

Safe Reinforcement Learning for Automated Vehicles via Online Reachability Analysis. - Xiao Wang 046; Matthias Althoff (IEEE Trans. Intell. Veh., 2024)