13 citations · 13 across the 1 of their papers we have counts for
2 papers
cs.LG2020
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design
Juan Jose Garau Luis, Edward Crawley, Bruce Cameron
The study and benchmarking of Deep Reinforcement Learning (DRL) models has become a trend in many industries, including aerospace engineering and communications. Recent studies in…
eess.SP2019★ 13 cited
Deep Reinforcement Learning Architecture for Continuous Power Allocation in High Throughput Satellites
Juan Jose Garau Luis, Markus Guerster, Inigo del Portillo +2
In the coming years, the satellite broadband market will experience significant increases in the service demand, especially for the mobility sector, where demand is burstier. Many…