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L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning2025 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) conference-paper Computer Science Network Security and Intrusion Detection cited by 1 patent
Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Yi-Xiang Wang, Yan Li, Chang Liu
4citations -
Multi-Agent Proximal Policy Optimization for a Deadlock Capable Transport System in a Simulation-Based Learning Environment2023 Winter Simulation Conference conference-paper Computer Science Reinforcement Learning in Robotics
Marcel Müller, Lorena Silvana Reyes-Rubiano, Tobias Reggelin, Hartmut Zadek
2citations -
INTELLIGENT TECHNOLOGY FOR OPTIMIZING THE PROJECT-BASED APPROACH TO TEACHING STUDENTS USING LEARNING MANAGEMENT SYSTEMS2025 Bulletin of National Technical University KhPI Series System Analysis Control and Information Technologies article Computer Science Recommender Systems and Techniques Open access
Volodymyr Sokol, Mykhaylo Godlevskyi, Mariia Oleksiivna Bilova, Roman Tupkalenko
1citations -
Experimental quantum speed-up in reinforcement learning agents2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Quantum Computing Algorithms and Architecture Open access
Valeria Saggio, Beate E. Asenbeck, Teodor Strömberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, +5 more
0citations -
Experimental quantum speed-up in reinforcement learning agents2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Quantum Computing Algorithms and Architecture Open access
Valeria Saggio, Beate E. Asenbeck, Teodor Strömberg, Peter Schiansky, Vedran Dunjko, Nicolai Friis, +5 more
0citations