Search Results for author:
Found 7 papers, 6 papers with code
Flexible Robust Beamforming for Multibeam Satellite Downlink using Reinforcement Learning
Low Earth Orbit (LEO) satellite-to-handheld connections herald a new era in satellite communications.
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation
With increasing complexity of modern communication systems, machine learning algorithms have become a focal point of research.
On the Importance of Exploration for Real Life Learned Algorithms
The quality of data driven learning algorithms scales significantly with the quality of data available.
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring
Questions remain on the robustness of data-driven learning methods when crossing the gap from simulation to reality.
Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients
Advances in mobile communication capabilities open the door for closer integration of pre-hospital and in-hospital care processes.
Learning Model-Free Robust Precoding for Cooperative Multibeam Satellite Communications
Direct Low Earth Orbit satellite-to-handheld links are expected to be part of a new era in satellite communications.
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care
Greater capabilities of mobile communications technology enable interconnection of on-site medical care at a scale previously unavailable.
