Learning Compact Terrain-Context Representations for Feasibility-Aware Offline Reinforcement Learning in UAV Relaying Networks
arXiv 2604.00224•d49f5c638cd8b4754ef64d52854bd07e736d2de0a77050d26f92d3ee5668c1d3
3GPP6G-imagingISACIsing-machineRF-signal-processingRISUAV-securityVAEadversarial-MLdatasetjamming-planninglocalizationoffline-RLprivacy-surveillancequantum-annealingradio-mapsreconfigurable-intelligent-surfacerepresentation-learningsignal-separationspectrum-monitoringwireless-security
Paper metadata
- arXiv ID
- 2604.00224
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- d49f5c638cd8b4754ef64d52854bd07e736d2de0a77050d26f92d3ee5668c1d3
- Enrichment time
- 2026-04-02T08:51:43Z
- AI-assisted enrichment
- Yes
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