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Kai Cui 0001
Person information
- affiliation: TU Darmstadt, Department of Electrical Engineering, Germany
Other persons with the same name
- Kai Cui — disambiguation page
- Kai Cui 0002
— Beijing Institute of Technology, Advanced Technology Research Institute, School of Computer Sciences, Jinan, China
- Kai Cui 0003
— Technical University of Munich, Media Technology, Germany (and 1 more)
- Kai Cui 0004
— Southwest Jiaotong University, Key Laboratory of High-speed Railway Engineering of the Ministry of Education, Sichuan, China
- Kai Cui 0005
— Beijing University of Posts and Telecommunications, BUPT, Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, China
- Kai Cui 0006
— Northwestern Polytechnical University, School of Software and Microelectronics, Xi'an, China
- Kai Cui 0007
— Technical University of Munich, Institute of Sustainable Mobile Powertrains, Germany (and 3 more)
- Kai Cui 0008
— Macau University of Science and Technology, School of Computer Science and Engineering, China (and 1 more)
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Journal Articles
- 2023
- [j1]Christian Fabian
, Kai Cui
, Heinz Koeppl:
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. IEEE Control. Syst. Lett. 7: 877-882 (2023)
Conference and Workshop Papers
- 2024
- [c14]Kai Cui
, Gökçe Dayanikli
, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl:
Learning Discrete-Time Major-Minor Mean Field Games. AAAI 2024: 9616-9625 - [c13]Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl:
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. ICLR 2024 - [c12]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. ICLR 2024 - [c11]Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui, Mengguang Li, Heinz Koeppl:
Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. ICRA 2024: 8401-8407 - [c10]Mengguang Li, Kai Cui, Heinz Koeppl:
A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. ICRA 2024: 8408-8414 - 2023
- [c9]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. AISTATS 2023: 4486-4514 - [c8]Kai Cui
, Mengguang Li, Christian Fabian
, Heinz Koeppl:
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. ICRA 2023: 1192-1199 - [c7]Kai Cui
, Lars Baumgärtner, Mustafa Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer
, Heinz Koeppl:
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. LCN 2023: 1-8 - 2022
- [c6]Kai Cui
, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl:
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. GLOBECOM 2022: 976-981 - [c5]Kai Cui
, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. ICLR 2022 - [c4]Anam Tahir, Kai Cui
, Heinz Koeppl:
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. ICPP 2022: 42:1-42:11 - [c3]Ramzi Ourari, Kai Cui
, Ahmed Elshamanhory, Heinz Koeppl:
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. ICRA 2022: 293-300 - 2021
- [c2]Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. AISTATS 2021: 1909-1917 - [c1]Kai Cui
, Anam Tahir, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. CDC 2021: 5239-5246
Informal and Other Publications
- 2024
- [i21]Christian Fabian, Kai Cui
, Heinz Koeppl:
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. CoRR abs/2401.12686 (2024) - [i20]Mengguang Li, Kai Cui
, Heinz Koeppl:
A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. CoRR abs/2402.01477 (2024) - [i19]Sharif Azem, David Scheunert, Mengguang Li, Jonas Gehrunger, Kai Cui
, Christian Hochberger, Heinz Koeppl:
FPGA-Based Neural Thrust Controller for UAVs. CoRR abs/2403.18703 (2024) - 2023
- [i18]Kai Cui
, Christian Fabian
, Heinz Koeppl:
Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties. CoRR abs/2303.10665 (2023) - [i17]Kai Cui, Lars Baumgärtner, Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl:
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. CoRR abs/2307.02988 (2023) - [i16]Kai Cui
, Sascha Hauck, Christian Fabian, Heinz Koeppl:
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. CoRR abs/2307.06175 (2023) - [i15]Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui
, Mengguang Li, Heinz Koeppl:
Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. CoRR abs/2310.02726 (2023) - [i14]Kai Cui
, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl:
Learning Discrete-Time Major-Minor Mean Field Games. CoRR abs/2312.10787 (2023) - [i13]Anam Tahir, Kai Cui
, Heinz Koeppl:
Sparse Mean Field Load Balancing in Large Localized Queueing Systems. CoRR abs/2312.12973 (2023) - [i12]Anam Tahir, Kai Cui
, Bastian Alt, Amr Rizk, Heinz Koeppl:
Collaborative Optimization of the Age of Information under Partial Observability. CoRR abs/2312.12977 (2023) - 2022
- [i11]Kai Cui
, Wasiur R. KhudaBukhsh, Heinz Koeppl:
Hypergraphon Mean Field Games. CoRR abs/2203.16223 (2022) - [i10]Anam Tahir, Kai Cui
, Heinz Koeppl:
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. CoRR abs/2208.04777 (2022) - [i9]Kai Cui
, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl:
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. CoRR abs/2209.03854 (2022) - [i8]Kai Cui
, Anam Tahir, Gizem Ekinci, Ahmed Elshamanhory, Yannick Eich, Mengguang Li, Heinz Koeppl:
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning. CoRR abs/2209.03859 (2022) - [i7]Christian Fabian
, Kai Cui
, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. CoRR abs/2209.03880 (2022) - [i6]Christian Fabian
, Kai Cui
, Heinz Koeppl:
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. CoRR abs/2209.03887 (2022) - [i5]Kai Cui
, Mengguang Li, Christian Fabian
, Heinz Koeppl:
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. CoRR abs/2209.07420 (2022) - 2021
- [i4]Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. CoRR abs/2102.01585 (2021) - [i3]Kai Cui, Anam Tahir
, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. CoRR abs/2104.14900 (2021) - [i2]Ramzi Ourari, Kai Cui, Heinz Koeppl:
Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. CoRR abs/2104.14912 (2021) - [i1]Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. CoRR abs/2112.01280 (2021)
Coauthor Index
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