Xiao Wang

According to our database, Xiao Wang authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Safe Reinforcement Learning for Automated Vehicles via Online Reachability Analysis.

Xiao Wang, Matthias Althoff

IEEE Trans. Intell. Veh., September, 2024

2023

Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking.

Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer, Xiao Wang, Matthias Althoff

Trans. Mach. Learn. Res., 2023

2022

Ensuring Safety of Learning-Based Motion Planners Using Control Barrier Functions.

Xiao Wang

IEEE Robotics Autom. Lett., 2022

Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes.

Niklas Kochdumper, Hanna Krasowski, Xiao Wang, Stanley Bak, Matthias Althoff

CoRR, 2022

Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison.

Hanna Krasowski, Jakob Thumm, Marlon Müller, Xiao Wang, Matthias Althoff

CoRR, 2022

Learning to Obey Traffic Rules using Constrained Policy Optimization.

Xiao Wang, Christoph Pillmayer, Matthias Althoff

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

CommonRoad-RL: A Configurable Reinforcement Learning Environment for Motion Planning of Autonomous Vehicles.

Xiao Wang, Hanna Krasowski, Matthias Althoff

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Safe Reinforcement Learning for Autonomous Lane Changing Using Set-Based Prediction.

Hanna Krasowski, Xiao Wang, Matthias Althoff

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Falsification-Based Robust Adversarial Reinforcement Learning.

Xiao Wang, Saasha Nair, Matthias Althoff

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020