A hybrid meta-offline reinforcement learning algorithm trains a UAV to minimize data age and transmission power from static datasets and adapts to new tasks in under 40 epochs.
Deep reinforcement learning for resource management in network slicing,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning
A hybrid meta-offline reinforcement learning algorithm trains a UAV to minimize data age and transmission power from static datasets and adapts to new tasks in under 40 epochs.