Juan Jose Garau Luis

According to our database, Juan Jose Garau Luis authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Frequency Plan Design for Multibeam Satellite Constellations Using Integer Linear Programming.

Juan Jose Garau Luis, Sergi Aliaga Torrens, Guillem Casadesus Vila, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron

IEEE Trans. Wirel. Commun., April, 2024

Metalic: Meta-Learning In-Context with Protein Language Models.

Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau Luis, Paul Duckworth

CoRR, 2024

Dynamic Frequency Assignment for Mobile Users in Multibeam Satellite Constellations.

Guillem Casadesus Vila, Juan Jose Garau Luis, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron

CoRR, 2024

2022

Frequency Plan Design for Multibeam Satellite Constellations Using Linear Programming.

Juan Jose Garau Luis, Sergi Aliaga, Guillem Casadesus, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron

CoRR, 2022

Multi-objective evolution for Generalizable Policy Gradient Algorithms.

Juan Jose Garau Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

CoRR, 2022

2021

Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges.

Juan Jose Garau Luis, Skylar Eiskowitz, Nils Pachler de la Osa, Edward F. Crawley, Bruce G. Cameron

CoRR, 2021

Integrating LSTMs and GNNs for COVID-19 Forecasting.

Nathan Sesti, Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron

CoRR, 2021

Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research.

Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron

CoRR, 2021

2020

Policy Gradient RL Algorithms as Directed Acyclic Graphs.

Juan Jose Garau Luis

CoRR, 2020

Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design.

Juan Jose Garau Luis, Edward F. Crawley, Bruce G. Cameron

CoRR, 2020

2019

Deep Reinforcement Learning Architecture for Continuous Power Allocation in High Throughput Satellites.

Juan Jose Garau Luis, Markus Guerster, Iñigo del Portillo, Edward F. Crawley, Bruce G. Cameron

CoRR, 2019