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Papers matching “vehicle control strategy” 9

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Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

3

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Cloud-Based Reinforcement Learning in Automotive Control Function Development
2023 Vehicles article Computer Science Reinforcement Learning in Robotics Open access

Lucas Koch, Dennis Roeser, Kevin Badalian, Alexander Lieb, Jakob Andert

5

citations
Methodology for Real-World Automated Function Development: From Virtual to On-Vehicle Implementation
2025 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Computer Science Reinforcement Learning in Robotics

Kevin Badalian, Mario Picerno, Sung-Yong Lee, Joschka Schaub, Jakob Andert

1

citations
Adaptive Control Strategies for Networked Systems: A Reinforcement Learning-Based Approach
2025 Electronics article Computer Science Reinforcement Learning in Robotics Open access

André Gilerson, Niklas Bünte, Pierre Kehl, Robert Heinrich Schmitt

1

citations
Making multidisciplinary optimization fit for practical usage in car body development
2023 Structural and Multidisciplinary Optimization article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Jana Büttner, Axel Schumacher, Thomas Bäck, Štefan Schwarz

7

citations
Increasing Feasibility with Dynamic Priority Assignment in Distributed Trajectory Planning for Road Vehicles
2022 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Robotic Path Planning Algorithms

Patrick Scheffe, Georg Dorndorf, Bassam Alrifaee

12

citations
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning
2024 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

Jianye Xu, Pan Hu, Bassam Alrifaee

3

citations
Automated Evaluation of Multi-Turn Dialogues in In-Car Conversational Assistants
2026 arXiv (Cornell University) preprint Computer Science Speech and dialogue systems Open access

Vaishnav Negi, Lev Sorokin, Soroosh Tayebi Arasteh, Andrea Stocco

0

citations

9 results