Carsten Hahn
Title
Cited by
Cited by
Year
DeepMoVIPS: Visual indoor positioning using transfer learning
M Werner, C Hahn, L Schauer
2016 International Conference on Indoor Positioning and Indoor Navigation …, 2016
202016
Emergent escape-based flocking behavior using multi-agent reinforcement learning
C Hahn, T Phan, T Gabor, L Belzner, C Linnhoff-Popien
arXiv preprint arXiv:1905.04077, 2019
112019
Nash Equilibria in Multi-Agent Swarms.
C Hahn, T Phan, S Feld, C Roch, F Ritz, A Sedlmeier, T Gabor, ...
ICAART (1), 234-241, 2020
42020
Foraging swarms using multi-agent reinforcement learning
C Hahn, F Ritz, P Wikidal, T Phan, T Gabor, C Linnhoff-Popien
Artificial Life Conference Proceedings, 333-340, 2020
32020
A quantum annealing algorithm for finding pure Nash equilibria in graphical games
C Roch, T Phan, S Feld, R Müller, T Gabor, C Hahn, C Linnhoff-Popien
International Conference on Computational Science, 488-501, 2020
32020
A distributed metadata platform for hybrid radio services
M Friedrich, A Ebert, C Hahn, G Schneider, L Obermeier, A Erk, I Jennes
International Conference on Innovations for Community Services, 166-183, 2019
32019
A flexible pipeline for the optimization of CSG trees
M Friedrich, C Roch, S Feld, C Hahn, PA Fayolle
arXiv preprint arXiv:2008.03674, 2020
22020
Towards ecosystem management from greedy reinforcement learning in a predator-prey setting
F Ritz, F Hohnstein, R Müller, T Phan, T Gabor, C Hahn, ...
Artificial Life Conference Proceedings, 518-525, 2020
22020
Collision Avoidance using Intuitive Physics
C Hahn, S Feld
2018 Innovations in Intelligent Systems and Applications (INISTA), 1-8, 2018
12018
Empirical evaluation of a distributed deployment strategy for virtual networks
C Hahn, S Holzner, L Belzner, MT Beck
International Conference on Mobile, Secure, and Programmable Networking, 88-98, 2017
12017
Predictive Collision Management for Time and Risk Dependent Path Planning
C Hahn, S Feld, H Schroter
Proceedings of the 28th International Conference on Advances in Geographic …, 2020
2020
Using Existing Reinforcement Learning Libraries in Multi-Agent Scenarios
C Hahn, M Friedrich
Digitale Welt 4 (1), 62-66, 2020
2020
Dynamic Path Planning with Stable Growing Neural Gas
C Hahn, S Feld, M Zierl, C Linnhoff-Popien
Proceedings of the 11th International Conference on Agents and Artificial …, 2019
2019
Intuitive Pathfinding of Autonomous Agents.
C Hahn
LBAS, 53-60, 2017
2017
Framework for Hybrid Positioning
C Hahn
LBAS, 2016
2016
IEEE (SMC) INISTA 2018 Table of contents
C Hahn, S Feld, P Koprinkova-Hristova, N Bocheva, S Nedelcheva, ...
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Articles 1–16