Kai Cui - RankMe

45 papers A* 11A 2B 4Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximately Solving Continuous-Time Mean Field Games with Finite State Spaces. CoRR Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl
2025	A*	`conf`	Bounded Rationality Equilibrium Learning in Mean Field Games. AAAI Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl
2025	A*	`conf`	Learning Mean Field Control on Sparse Graphs. ICML Christian Fabian, Kai Cui, Heinz Koeppl
2025	J	`jnl`	Learning Mean Field Control on Sparse Graphs. CoRR Christian Fabian, Kai Cui, Heinz Koeppl
2025	J	`jnl`	Mean-Field RL for Large-Scale Unit-Capacity Pickup-and-Delivery Problems. Trans. Mach. Learn. Res. Kai Cui, Sharif Azem, Christian Fabian, Kirill Kuroptev, Ramin Khalili, Osama Abboud, Florian Steinke, Heinz Koeppl
2024	A*	`conf`	A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. ICRA Mengguang Li, Kai Cui, Heinz Koeppl
2024	J	`jnl`	A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. CoRR Mengguang Li, Kai Cui, Heinz Koeppl
2024	J	`jnl`	Bounded Rationality Equilibrium Learning in Mean Field Games. CoRR Yannick Eich, Christian Fabian, Kai Cui, Heinz Koeppl
2024	B	`conf`	Collaborative Optimization of the Age of Information Under Partial Observability. IFIP Networking Anam Tahir, Kai Cui, Bastian Alt, Amr Rizk, Heinz Koeppl
2024	J	`jnl`	FPGA-Based Neural Thrust Controller for UAVs. CoRR Sharif Azem, David Scheunert, Mengguang Li, Jonas Gehrunger, Kai Cui, Christian Hochberger, Heinz Koeppl
2024	—	`—`	Large-Scale Multi-Agent Reinforcement Learning via Mean Field Games. Kai Cui
2024	A*	`conf`	Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. ICLR Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl
2024	A*	`conf`	Learning Discrete-Time Major-Minor Mean Field Games. AAAI Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
2024	A*	`conf`	Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. ICLR Christian Fabian, Kai Cui, Heinz Koeppl
2024	J	`jnl`	Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. CoRR Christian Fabian, Kai Cui, Heinz Koeppl
2024	A*	`conf`	Major-Minor Mean Field Multi-Agent Reinforcement Learning. ICML Kai Cui, Christian Fabian, Anam Tahir, Heinz Koeppl
2024	A*	`conf`	Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. ICRA Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui, Mengguang Li, Heinz Koeppl
2023	J	`jnl`	Collaborative Optimization of the Age of Information under Partial Observability. CoRR Anam Tahir, Kai Cui, Bastian Alt, Amr Rizk, Heinz Koeppl
2023	J	`jnl`	Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. CoRR Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl
2023	J	`jnl`	Learning Discrete-Time Major-Minor Mean Field Games. CoRR Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
2023	A	`conf`	Learning Sparse Graphon Mean Field Games. AISTATS Christian Fabian, Kai Cui, Heinz Koeppl
2023	J	`jnl`	Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. IEEE Control. Syst. Lett. Christian Fabian, Kai Cui, Heinz Koeppl
2023	J	`jnl`	Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties. CoRR Kai Cui, Christian Fabian, Heinz Koeppl
2023	J	`jnl`	Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. CoRR Akash Kopparam Sreedhara, Deepesh Padala, Shashank Mahesh, Kai Cui, Mengguang Li, Heinz Koeppl
2023	A*	`conf`	Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. ICRA Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl
2023	J	`jnl`	Sparse Mean Field Load Balancing in Large Localized Queueing Systems. CoRR Anam Tahir, Kai Cui, Heinz Koeppl
2023	B	`conf`	UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. LCN Kai Cui, Lars Baumgärtner, Mustafa Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl
2023	J	`jnl`	UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. CoRR Kai Cui, Lars Baumgärtner, Burak Yilmaz, Mengguang Li, Christian Fabian, Benjamin Becker, Lin Xiang, Maximilian Bauer, Heinz Koeppl
2022	J	`jnl`	A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning. CoRR Kai Cui, Anam Tahir, Gizem Ekinci, Ahmed Elshamanhory, Yannick Eich, Mengguang Li, Heinz Koeppl
2022	J	`jnl`	Hypergraphon Mean Field Games. CoRR Kai Cui, Wasiur R. KhudaBukhsh, Heinz Koeppl
2022	A*	`conf`	Learning Graphon Mean Field Games and Approximate Nash Equilibria. ICLR Kai Cui, Heinz Koeppl
2022	B	`conf`	Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. ICPP Anam Tahir, Kai Cui, Heinz Koeppl
2022	J	`jnl`	Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. CoRR Anam Tahir, Kai Cui, Heinz Koeppl
2022	J	`jnl`	Learning Sparse Graphon Mean Field Games. CoRR Christian Fabian, Kai Cui, Heinz Koeppl
2022	J	`jnl`	Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. CoRR Christian Fabian, Kai Cui, Heinz Koeppl
2022	A*	`conf`	Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. ICRA Ramzi Ourari, Kai Cui, Ahmed Elshamanhory, Heinz Koeppl
2022	B	`conf`	Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. GLOBECOM Kai Cui, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl
2022	J	`jnl`	Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. CoRR Kai Cui, Mustafa Burak Yilmaz, Anam Tahir, Anja Klein, Heinz Koeppl
2022	J	`jnl`	Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. CoRR Kai Cui, Mengguang Li, Christian Fabian, Heinz Koeppl
2021	A	`conf`	Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. AISTATS Kai Cui, Heinz Koeppl
2021	J	`jnl`	Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. CoRR Kai Cui, Heinz Koeppl
2021	J	`jnl`	Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. CoRR Ramzi Ourari, Kai Cui, Heinz Koeppl
2021	—	`conf`	Discrete-Time Mean Field Control with Environment States. CDC Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl
2021	J	`jnl`	Discrete-Time Mean Field Control with Environment States. CoRR Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl
2021	J	`jnl`	Learning Graphon Mean Field Games and Approximate Nash Equilibria. CoRR Kai Cui, Heinz Koeppl