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ORCIDHeinz Koeppl
- > Home > Persons > Heinz Koeppl
Publications
- 2024
[c85]Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl:
Learning Discrete-Time Major-Minor Mean Field Games. AAAI 2024: 9616-9625- [i80]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach. CoRR abs/2401.12686 (2024) - [i78]Mengguang Li, Kai Cui, Heinz Koeppl:
A Modular Aerial System Based on Homogeneous Quadrotors with Fault-Tolerant Control. CoRR abs/2402.01477 (2024) - [i72]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
- [j38]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) - [c83]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. AISTATS 2023: 4486-4514 - [c79]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 - [c78]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 - [i71]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) - [i68]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) - [i67]Kai Cui, Sascha Hauck, Christian Fabian, Heinz Koeppl:
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior. CoRR abs/2307.06175 (2023) - [i64]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) - [i61]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) - [i60]Anam Tahir, Kai Cui, Heinz Koeppl:
Sparse Mean Field Load Balancing in Large Localized Queueing Systems. CoRR abs/2312.12973 (2023) - [i59]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
- [c73]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 - [c71]Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. ICLR 2022 - [c69]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 - [c68]Ramzi Ourari, Kai Cui, Ahmed Elshamanhory, Heinz Koeppl:
Nearest-Neighbor-based Collision Avoidance for Quadrotors via Reinforcement Learning. ICRA 2022: 293-300 - [i55]Kai Cui, Wasiur R. KhudaBukhsh, Heinz Koeppl:
Hypergraphon Mean Field Games. CoRR abs/2203.16223 (2022) - [i52]Anam Tahir, Kai Cui, Heinz Koeppl:
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. CoRR abs/2208.04777 (2022) - [i50]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) - [i49]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) - [i48]Christian Fabian, Kai Cui, Heinz Koeppl:
Learning Sparse Graphon Mean Field Games. CoRR abs/2209.03880 (2022) - [i47]Christian Fabian, Kai Cui, Heinz Koeppl:
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons. CoRR abs/2209.03887 (2022) - [i46]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
- [c64]Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. AISTATS 2021: 1909-1917 - [c61]Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. CDC 2021: 5239-5246 - [i41]Kai Cui, Heinz Koeppl:
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning. CoRR abs/2102.01585 (2021) - [i39]Kai Cui, Anam Tahir, Mark Sinzger, Heinz Koeppl:
Discrete-Time Mean Field Control with Environment States. CoRR abs/2104.14900 (2021) - [i38]Ramzi Ourari, Kai Cui, Heinz Koeppl:
Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning. CoRR abs/2104.14912 (2021) - [i31]Kai Cui, Heinz Koeppl:
Learning Graphon Mean Field Games and Approximate Nash Equilibria. CoRR abs/2112.01280 (2021)
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last updated on 2024-04-17 23:03 CEST by the dblp team
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