Publications by year
2023
Submission under review for NeurIPS 2023
Submission in preparation for ICLR 2024
Juan Jose Garau-Luis, Sergi Aliaga, Guillem Casadesus, Nils Pachler, Edward Crawley, Bruce Cameron, Frequency Plan Design for Multibeam Satellite Constellations Using Integer Linear Programming, IEEE Transactions in Wireless Communications
2022
Juan Jose Garau-Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust, Multi-Objective Evolution for Generalizable Policy Gradient Algorithms, Generalizable Policy Learning in the Physical World Workshop at ICLR 2022.
Juan Jose Garau-Luis*, Skylar Eiskowitz*, Nils Pachler*, Edward Crawley, Bruce Cameron, Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges, AI to Accelerate Science and Engineering Workshop at AAAI Conference on Artificial Intelligence 2022.
Juan Jose Garau-Luis*, Skylar Eiskowitz*, Nils Pachler*, Edward Crawley, Bruce Cameron, Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges, International Astronautical Congress 2022.
Guillem Casadesus-Vila, Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron, Dynamic Frequency Assignment for Mobile Users in Multibeam Satellite Constellations, International Astronautical Congress 2022.
Sergi Aliaga, Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron, Dynamic resource management algorithm reconfiguration for multibeam satellite constellations, IEEE Aerospace Conference 2022.
2021
Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron, Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research, Reinforcement Learning for Real Life Workshop at ICML 2021.
Nathan Sesti*, Juan Jose Garau-Luis*, Edward Crawley, Bruce Cameron, Integrating LSTMs and GNNs for COVID-19 Forecasting, Time Series Workshop at ICML 2021.
Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron, Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design, IEEE Aerospace Conference 2021.
2020
Juan Jose Garau-Luis, Nils Pachler, Markus Guerster, Inigo del Portillo, Edward Crawley, Bruce Cameron, Artificial Intelligence Algorithms for Power Allocation in High Throughput Satellites: A Comparison, IEEE Aerospace Conference 2020.
Juan Jose Garau-Luis, Policy Gradient RL Algorithms as Directed Acyclic Graphs, arXiv.
Nils Pachler, Juan Jose Garau-Luis, Markus Guerster, Edward Crawley, Bruce Cameron, Allocating Power and Bandwidth in Multibeam Satellite Systems using Particle Swarm Optimization, IEEE Aerospace Conference 2020.
2019
Juan Jose Garau-Luis, Markus Guerster, Inigo del Portillo, Edward Crawley, Bruce Cameron, Deep Reinforcement Learning Architecture for Continuous Power Allocation in High Throughput Satellites, Reinforcement Learning for Real Life Workshop at ICML 2019.
Juan Jose Garau-Luis, Markus Guerster, Inigo del Portillo, Edward Crawley, Bruce Cameron, Deep Reinforcement Learning for Continuous Power Allocation in Flexible High Throughput Satellites, IEEE Cognitive Communications for Aerospace Applications Workshop.
Markus Guerster, Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron, Problem representation of dynamic resource allocation for flexible high throughput satellites, IEEE Aerospace Conference 2019.
2018
Juan Jose Garau-Luis, Marc Sanchez Net, Edward Crawley, Bruce Cameron, System Architecture for Tracking Passengers inside an Airport Terminal Using RFID, IEEE Aerospace Conference 2018.