3 papers
cs.AI2026
DRG-MAPPO: Hierarchical Dynamic Role-Graph Multi-Agent Reinforcement Learning for Cooperative Air Combat
Junlin Liu, Chengwei Li, Yang Gao +4
Multi-Agent Reinforcement Learning (MARL) has emerged as a pivotal paradigm for complex decision-making in autonomous systems and air combat. While MARL has demonstrated significan…
cs.CV2026
DINO-GFSA: Geo-Localization via Semantic Gated Fusion and Mamba-based Sequential Aggregation
Beier Hu, Yuanshen Guo, Jialu Cai +4
Cross-view geo-localization (CVGL) is critical for Unmanned Aerial Vehicle (UAV) self-positioning and target localization in GNSS-denied environments. However, acquiring robust sem…
cs.AI2026
Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat
Chengwei Li, Junlin Liu, Yang Gao
As modern air combat evolves toward beyond-visual-range (BVR) multi-aircraft cooperative engagements, autonomous decision-making for unmanned combat aerial vehicles (UCAVs) faces s…