Zero-Shot MARL Benchmark in the Cyber-Physical Mobility Lab
at - Automatisierungstechnik
Academic portfolio
Jianye Xu
Ph.D. Student / RWTH Aachen University
Research in multi-agent learning, optimal control, and connected and automated vehicles.
Explore my workAbout Me
About Me
Hello! I’m Jianye, a Ph.D. student at the Chair of Embedded Software (Informatik 11), RWTH Aachen University, supervised by Prof. Bassam Alrifaee. My research focuses on learning- and optimization-based multi-agent decision-making and its applications in connected and automated vehicles. Specifically, I am interested in the interplay between reinforcement learning and control barrier functions.
AffiliationChair of Embedded Software, RWTH Aachen University
Emailxu@embedded.rwth-aachen.de
InterestsMulti-Agent Reinforcement Learning, Optimal Control, Connected and Automated Vehicles
News
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Education
Oct 2020 – Sep 2022
M.Sc. Automation Engineering
RWTH Aachen University
GPA: 1.2/1.0 (graduated with distinction)
Aug 2016 – Sep 2020
B.Sc. Vehicle Engineering
Beijing Institute of Technology
GPA: 91.48/100 (graduated with distinction)
Projects
Selected Publications
TTCBF: A Truncated Taylor Control Barrier Function for High-Order Safety Constraints
arXiv preprint arXiv:2601.15196
Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap
IEEE Intelligent Transportation Systems Magazine
Beyond Safety Filtering: Control Barrier Function-Informed Reinforcement Learning for Connected and Automated Vehicles
2026 IEEE 29th International Conference on Intelligent Transportation Systems (ITSC), in Press
High-Order Control Barrier Functions: Insights and a Truncated Taylor-Based Formulation
arXiv preprint arXiv:2503.15014
A Real-Time Control Barrier Function-Based Safety Filter for Motion Planning with Arbitrary Road Boundary Constraints
2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)
A Learning-Based Control Barrier Function for Car-Like Robots: Toward Less Conservative Collision Avoidance
2025 European Control Conference (ECC)
XP-MARL: Auxiliary Prioritization in Multi-Agent Reinforcement Learning to Address Non-Stationarity
arXiv preprint arXiv:2409.11852
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)
Limiting Computation Levels in Prioritized Trajectory Planning with Safety Guarantees
2024 European Control Conference (ECC)
Educational Applications of the Cyber-Physical Mobility Lab: A Summary
2024 European Control Conference (ECC)
A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: A Guide for Creating a New Testbed
IEEE Robotics & Automation Magazine
Cyber-Physical Mobility Lab: An Open-Source Platform for Networked and Autonomous Vehicles
2021 European Control Conference (ECC)
Teaching
Awards
2025
Best Poster
German Autonomy Summit (GAS)
2025
Best Paper Nomination
IEEE Intelligent Transportation Systems Society (ITSS)
2023
Dean's List
RWTH Aachen University
2022
M.Sc. with distinction
RWTH Aachen University
2021
German National Scholarship (Deutschlandstipendium)
RWTH Aachen University
2021
Patent - Quick Locking and Unlocking Device for Vehicle-Mounted Power Battery Box
China National Intellectual Property Administration
2020
German National Scholarship (Deutschlandstipendium)
RWTH Aachen University
2020
Outstanding Graduate
Beijing Institute of Technology
2018
China National Scholarship
Ministry of Education of the People's Republic of China
2018
Second Prize in National Student Mechanical Product Digital Design Competition
China Mechanical Discipline Steering Committee
2017
Outstanding Undergraduate
Beijing Institute of Technology
2017
First Prize in Beijing Student Engineering Design Expression Competition
Beijing Municipal Commission of Education
2017
First Prize in National Student Drafting and Modelling Innovation Competition
China Cartographic Association
2017
Second Prize in Engineering Drafting Skills Competition
Beijing Institute of Technology