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An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving2024 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Computer Science Reinforcement Learning in Robotics
Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid
0citations -
Curiosity Driven Reinforcement Learning for Job Shop Scheduling2025 International Conference on Agents and Artificial Intelligence (ICAART) conference-paper Engineering Scheduling and Optimization Algorithms Open access
Alexander Nasuta, Marco Kemmerling, Hans Aoyang Zhou, Anas Abdelrazeq, Robert Heinrich Schmitt
1citations -
Development of a Framework for Continual Learning in Industrial Robotics2022 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning
Minh Trinh, Lukas Grundel, Victoria Hankemeier, Simon Storms, Christian Brecher
1citations -
From Superficial to Deep: Language Bias driven Curriculum Learning for Visual Question Answering2021 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Multimodal Machine Learning Applications
Mingrui Lao, Yanming Guo, Yu Liu, Wei Chen, Nan Pu, Michael S. Lew
22citations -
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Yujie Li, Xiangkun Wang, Xin Yang, Marcello Bonsangue, Junbo Zhang, Tianrui Li
1citations -
Neural Language Models and Few Shot Learning for Systematic Requirements Processing in MDSE2022 ACM SIGPLAN International Conference on Software Language Engineering (SLE) conference-paper Computer Science Model-Driven Software Engineering Techniques
Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe⋆, Danilo Trotta, +1 more
12citations -
Data Driven Approach towards More Efficient Newton-Raphson Power Flow Calculation for Distribution Grids2025 University of Twente Research Information conference-paper Engineering Optimal Power Flow Distribution
Jerry Jinfeng Guo, Amirhossein Heydarian Ardakani, Zeynab Kaseb, Betul Mamudi, Lindsay Spoor, Farzad Vazinram, +5 more
0citations -
Decentralized Automatic Modulation Classification Method Based on Lightweight Neural Network2022 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) conference-paper Computer Science Wireless Signal Modulation Classification
Biao Dong, Guozhen Xu, Xue Gang Fu, Heng Dong, Guan Gui, Haris Gacanin, +1 more
6citations