research
∙
04/26/2022
Frequency Plan Design for Multibeam Satellite Constellations Using Linear Programming
Upcoming large satellite constellations and the advent of tighter steera...
share
research
∙
04/08/2022
Multi-objective evolution for Generalizable Policy Gradient Algorithms
Performance, generalizability, and stability are three Reinforcement Lea...
research
∙
12/11/2021
Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges
The next generation of satellite constellations is designed to better ad...
research
∙
07/07/2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
Deep Reinforcement Learning (DRL) is considered a potential framework to...
research
∙
12/14/2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs
Meta Reinforcement Learning (RL) methods focus on automating the design ...
research
∙
10/15/2020
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design
The study and benchmarking of Deep Reinforcement Learning (DRL) models h...
research
∙
06/03/2019
