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1 Ergebnisse
1
Improved Learning in Multi-Agent Pursuer-Evader UAV Scenari..:
, In:
2024 International Conference on Unmanned Aircraft Systems (ICUAS)
,
Cabral, Kleber
;
Delamer, Jean-Alexis
;
Rabbath, Camille-Alain
... - p. 144-151 , 2024
Link:
https://doi.org/10.1109/ICUAS60882.2024.10557110
RT T1
2024 International Conference on Unmanned Aircraft Systems (ICUAS)
: T1
Improved Learning in Multi-Agent Pursuer-Evader UAV Scenarios via Mechanism Design and Deep Reinforcement Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10557110&Exemplar=1&LAN=DE A1 Cabral, Kleber A1 Delamer, Jean-Alexis A1 Rabbath, Camille-Alain A1 Lechevin, Nicolas A1 Williams, Craig A1 Givigi, Sidney YR 2024 SN 2575-7296 K1 Training K1 Navigation K1 Design methodology K1 Games K1 Deep reinforcement learning K1 Autonomous aerial vehicles K1 Autonomous agents K1 mechanism design K1 deep reinforcement learning K1 multi-agent systems K1 reward design SP 144 OP 151 LK http://dx.doi.org/https://doi.org/10.1109/ICUAS60882.2024.10557110 DO https://doi.org/10.1109/ICUAS60882.2024.10557110 SF ELIB - SuUB Bremen
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