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Englisch
Cui, Kai (2024)
Large-Scale Multi-Agent Reinforcement Learning via Mean Field Games.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00028568
Dissertation, Erstveröffentlichung, Verlagsversion
Cui, Kai ; Dayanikli, Gökce ; Laurière, Mathieu ; Geist, Matthieu ; Pietquin, Oliver ; Koeppl, Heinz (2024)
Learning Discrete-Time Major-Minor Mean Field Games.
38th AAAI Conference on Artificial Intelligence. Vancouver, Canada (20.02.2024 - 27.02.2024)
doi: 10.1609/aaai.v38i9.28818
Konferenzveröffentlichung, Bibliographie
Cui, Kai ; Baumgärtner, Lars ; Yilmaz, Mustafa Burak ; Li, Mengguang ; Fabian, Christian ; Becker, Benjamin ; Xiang, Lin ; Bauer, Maximilian ; Koeppl, Heinz (2023)
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment.
48th Conference on Local Computer Networks. Daytona Beach, USA (02.10.2023 - 05.10.2023)
doi: 10.1109/LCN58197.2023.10223388
Konferenzveröffentlichung, Bibliographie
Fabian, Christian ; Cui, Kai ; Koeppl, Heinz
Hrsg.: Ruiz, Francisco ; Dy, Jennifer ; van de Meent, Jan-Willem (2023)
Learning Sparse Graphon Mean Field Games.
26th International Conference on Artificial Intelligence and Statistics. Valencia, Spain (25.04.2023 - 27.04.2023)
Konferenzveröffentlichung, Bibliographie
Cui, Kai ; KhudaBukhsh, Wasiur R. ; Koeppl, Heinz (2022)
Hypergraphon mean field games.
In: Chaos: An Interdisciplinary Journal of Nonlinear Science, 32 (11)
doi: 10.1063/5.0093758
Artikel, Bibliographie
Cui, Kai ; KhudaBukhsh, Wasiur R. ; Koeppl, Heinz (2022)
Motif-based mean-field approximation of interacting particles on clustered networks.
In: Phys. Rev. E, 105
doi: 10.1103/PhysRevE.105.L042301
Artikel, Bibliographie
Ourari, Ramzi ; Cui, Kai ; Elshamanhory, Ahmed ; Koeppl, Heinz (2022)
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning.
doi: 10.1109/ICRA46639.2022.9812221
Konferenzveröffentlichung, Bibliographie
Cui, Kai ; Koeppl, Heinz (2021)
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning.
24th International Conference on Artificial Intelligence and Statistics. Virtual Conference (13.04.2021-15.04.2021)
Konferenzveröffentlichung, Bibliographie