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Curriculum Vitae
Xiao Wang is a research assistant and PhD student in the Cyber-Physical Systems Group under Prof. Dr.-Ing. Matthias Althoff since 2019. She graduated with the Master of Science degree in Mechanical Engineering from the Technische Universität München, Germany, in 2018. She received the Bachelor of Engineering degree in Vehicle Engineering from Tongji University, Shanghai, China.
Her research focuses on motion planning for autonomous vehicles, formal methods, and safe reinforcement learning.
Offered Theses:
Open theses:
If you are interested in this topic or in her research and want to write a thesis in this area, please feel free to contact her. General ideas could be to apply formal method to standard RL techniques to increase safety, to benchmark state-of-art safe RL algorithms, to learn driving behaviors from real traffic data, or to increase sample efficiency of RL for motion planning, etc.
Supervised theses:
[BT | SS19]: Christoph Pillmayer - "Online Verification for Autonomous Vehicles using Motion Primitives and Deep Reinforcement Learning"
[BT | SS19]: Hagen Winkelmann - "Learning Cost Functions for Sampling Based Planners in Autonomous Driving"
[MT | WS19]: Hanna Krasowski - "Safe Reinforcement Learning for Autonomous Vehicles"
[MT | SS20]: Xi Chen - "Learning Driving Policies Using Reinforcement Learning Combined with Sampling-based Motion Planner"
[MT | SS20]: Kailiang Dong - "Generative Adversarial Imitation Learning for Highway Autonomous Driving with Safety Guarantees"
[MT | WS20]: Zhenyu Li - "Safe Reinforcement Learning for Continuous Control Tasks"
[MT | SS21]: Jiaying Huang - "An Online Verification Framework for Autonomous Driving Using Sampling-Based Motion Planners"
[MT | WS21]: Guyue Huang - "Safety Falsification for Black-Box Motion Planners of Autonomous Vehicles"
Hanna Krasowski; Jakob Thumm; Marlon Müller; Lukas Schäfer; Xiao Wang; Matthias Althoff: Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking. Transactions on Machine Learning Research, 2023 mehr…BibTeX
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Niklas Kochdumper; Hanna Krasowski; Xiao Wang; Stanley Bak; Matthias Althoff: Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes. IEEE Open Journal of Control Systems, 2023 mehr…BibTeX
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Wang, Xiao; Althoff, Matthias: Safe Reinforcement Learning for Automated Vehicles via Online Reachability Analysis. IEEE Transactions on Intelligent Vehicles, 2023, 1-15 mehr…BibTeX
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Xiao Wang; Christoph Pillmayer; Matthias Althoff: Learning to Obey Traffic Rules using Constrained Policy Optimization. IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022 mehr…BibTeX
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2021
Xiao Wang; Hanna Krasowski; Matthias Althoff: CommonRoad-RL: A Configurable Reinforcement Learning Environment for Motion Planning of Autonomous Vehicles. IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021 mehr…BibTeX
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2020
Hanna Krasowski; Xiao Wang; Matthias Althoff: Safe Reinforcement Learning for Autonomous Lane Changing Using Set-Based Prediction. 2020 IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020 mehr…BibTeX
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Jun Yan, Zifeng Peng, Huilin Yin, Jie Wang, Xiao Wang, Yuesong Shen, Walter Stechele, Daniel Cremers: Trajectory Prediction for Intelligent Vehicles Using Spatial-Attention Mechanism. IET Intelligent Transport Systems, 2020 mehr…BibTeX
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Xiao Wang, Anna-Katharina Rettinger, Md Tawhid Bin Waez, Matthias Althoff: Coupling Apollo with the CommonRoad Motion Planning Framework. FISITA World Congress, 2020 mehr…BibTeX
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Xiao Wang; Saasha Nair; Matthias Althoff: Falsification-Based Robust Adversarial Reinforcement Learning. Proc. of IEEE International Conference on Machine Learning and Applications, 2020 mehr…BibTeX
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