Search Results for author:
Found 3 papers, 1 papers with code
Policy Gradient RL Algorithms as Directed Acyclic Graphs
Meta Reinforcement Learning (RL) methods focus on automating the design of RL algorithms that generalize to a wide range of environments.
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design
We analyze different alternatives for each of these elements and characterize their effect.
Deep Reinforcement Learning Architecture for Continuous Power Allocation in High Throughput Satellites
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
