Kai Cui

According to our database, Kai Cui authored at least 23 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FPGA-Based Neural Thrust Controller for UAVs.

Sharif Azem, David Scheunert, Mengguang Li, Jonas Gehrunger, Kai Cui, Christian Hochberger, Heinz Koeppl

CoRR, 2024

A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control.

Mengguang Li, Kai Cui, Heinz Koeppl

CoRR, 2024

Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach.

Christian Fabian, Kai Cui, Heinz Koeppl

CoRR, 2024

Learning Discrete-Time Major-Minor Mean Field Games.

Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mean Field Games on Weighted and Directed Graphs via Colored Digraphons.

Christian Fabian, Kai Cui, Heinz Koeppl

IEEE Control. Syst. Lett., 2023

Collaborative Optimization of the Age of Information under Partial Observability.

Anam Tahir, Kai Cui, Bastian Alt, Amr Rizk, Heinz Koeppl

CoRR, 2023

Sparse Mean Field Load Balancing in Large Localized Queueing Systems.

Anam Tahir, Kai Cui, Heinz Koeppl

CoRR, 2023

Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms.

Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui, Mengguang Li, Heinz Koeppl

CoRR, 2023

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior.

Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl

CoRR, 2023

UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.

Kai Cui, Lars Baumgärtner, Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl

CoRR, 2023

Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties.

Kai Cui, Christian Fabian, Heinz Koeppl

CoRR, 2023

UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.

Kai Cui, Lars Baumgärtner, Mustafa Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl

Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control.

Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Sparse Graphon Mean Field Games.

Christian Fabian, Kai Cui, Heinz Koeppl

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning.

Kai Cui, Anam Tahir, Gizem Ekinci, Ahmed Elshamanhory, Yannick Eich, Mengguang Li, Heinz Koeppl

CoRR, 2022

Hypergraphon Mean Field Games.

Kai Cui, Wasiur R. KhudaBukhsh, Heinz Koeppl

CoRR, 2022

Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning.

Ramzi Ourari, Kai Cui, Ahmed Elshamanhory, Heinz Koeppl

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems.

Anam Tahir, Kai Cui, Heinz Koeppl

Proceedings of the 51st International Conference on Parallel Processing, 2022

Learning Graphon Mean Field Games and Approximate Nash Equilibria.

Kai Cui, Heinz Koeppl

Proceedings of the Tenth International Conference on Learning Representations, 2022

Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control.

Kai Cui, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl

Proceedings of the IEEE Global Communications Conference, 2022

2021

Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning.

Ramzi Ourari, Kai Cui, Heinz Koeppl

CoRR, 2021

Discrete-Time Mean Field Control with Environment States.

Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning.

Kai Cui, Heinz Koeppl

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021