Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. - Kai Cui 001; Heinz Koeppl (AISTATS, 2021)

Discrete-Time Mean Field Control with Environment States. - Kai Cui 001; Anam Tahir; Mark Sinzger; Heinz Koeppl (CDC, 2021)

Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. - Ramzi Ourari; Kai Cui 001; Heinz Koeppl (CoRR, 2021)

Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control. - Kai Cui 001; Mustafa Burak Yilmaz; Anam Tahir; Anja Klein 002; Heinz Koeppl (GLOBECOM, 2022)

Learning Graphon Mean Field Games and Approximate Nash Equilibria. - Kai Cui 001; Heinz Koeppl (ICLR, 2022)

Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. - Anam Tahir; Kai Cui 001; Heinz Koeppl (ICPP, 2022)

Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. - Ramzi Ourari; Kai Cui 001; Ahmed Elshamanhory; Heinz Koeppl (ICRA, 2022)

Hypergraphon Mean Field Games. - Kai Cui 001; Wasiur R. KhudaBukhsh; Heinz Koeppl (CoRR, 2022)

A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning. - Kai Cui 001; Anam Tahir; Gizem Ekinci; Ahmed Elshamanhory; Yannick Eich; Mengguang Li; Heinz Koeppl (CoRR, 2022)

Motif-based mean-field equations. - Kai Cui 001; Wasiur R. KhudaBukhsh; Heinz Koeppl (Zenodo, 2022)

Learning Sparse Graphon Mean Field Games. - Christian Fabian 001; Kai Cui 001; Heinz Koeppl (AISTATS, 2023)

Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control. - Kai Cui 001; Mengguang Li; Christian Fabian 001; Heinz Koeppl (ICRA, 2023)

UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. - Kai Cui 001; Lars Baumgärtner; Mustafa Burak Yilmaz; Mengguang Li; Christian Fabian 001; Benjamin Becker; Lin Xiang; Maximilian Bauer; Heinz Koeppl (LCN, 2023)

Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties. - Kai Cui 001; Christian Fabian 001; Heinz Koeppl (CoRR, 2023)

UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment. - Kai Cui 001; Lars Baumgärtner; Burak Yilmaz; Mengguang Li; Christian Fabian 001; Benjamin Becker; Lin Xiang; Maximilian Bauer; Heinz Koeppl (CoRR, 2023)

Sparse Mean Field Load Balancing in Large Localized Queueing Systems. - Anam Tahir; Kai Cui 001; Heinz Koeppl (CoRR, 2023)

Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. - Christian Fabian 001; Kai Cui 001; Heinz Koeppl (IEEE Control. Syst. Lett., 2023)

Learning Discrete-Time Major-Minor Mean Field Games. - Kai Cui 001; Gökçe Dayanikli; Mathieu Laurière; Matthieu Geist; Olivier Pietquin; Heinz Koeppl (AAAI, 2024)

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. - Kai Cui 001; Sascha Hauck; Christian Fabian 001; Heinz Koeppl (ICLR, 2024)

Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. - Christian Fabian 001; Kai Cui 001; Heinz Koeppl (ICLR, 2024)

Major-Minor Mean Field Multi-Agent Reinforcement Learning. - Kai Cui 001; Christian Fabian 001; Anam Tahir; Heinz Koeppl (ICML, 2024)

A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. - Mengguang Li; Kai Cui 001; Heinz Koeppl (ICRA, 2024)

Optimal Collaborative Transportation for Under-Capacitated Vehicle Routing Problems using Aerial Drone Swarms. - Akash Kopparam Sreedhara; Deepesh Padala; Shashank Mahesh; Kai Cui 001; Mengguang Li; Heinz Koeppl (ICRA, 2024)

Collaborative Optimization of the Age of Information Under Partial Observability. - Anam Tahir; Kai Cui 001; Bastian Alt; Amr Rizk; Heinz Koeppl (IFIP Networking, 2024)

FPGA-Based Neural Thrust Controller for UAVs. - Sharif Azem; David Scheunert; Mengguang Li; Jonas Gehrunger; Kai Cui 001; Christian Hochberger; Heinz Koeppl (CoRR, 2024)

Large-Scale Multi-Agent Reinforcement Learning via Mean Field Games. - Kai Cui 001 (2024)

Bounded Rationality Equilibrium Learning in Mean Field Games. - Yannick Eich; Christian Fabian 001; Kai Cui 001; Heinz Koeppl (AAAI, 2025)

Learning Mean Field Control on Sparse Graphs. - Christian Fabian 001; Kai Cui 001; Heinz Koeppl (CoRR, 2025)