Reinforcement-Learning based routing for packet-optical networks with hybrid telemetry. - Alejandro L. García Navarro; Nataliia Koneva; Alfonso Sánchez-Macián; José Alberto Hernández 001; Óscar González de Dios; José Manuel Rivas-Moscoso (CoRR, 2024)

A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning. - Alejandro L. García Navarro; Nataliia Koneva; Alfonso Sánchez-Macián; José Alberto Hernández 001 (CoRR, 2024)

Developing Cost-Effective Drones for 5G Non-Terrestrial Network Research and Experimentation. - Carlos de Quinto Cáceres; Andrés Navarro; Alejandro L. García Navarro; Tomás Martínez; Gabriel Otero 001; José Alberto Hernández 001 (CoRR, 2024)

Designing Reliable Experiments with Generative Agent-Based Modeling: A Comprehensive Guide Using Concordia by Google DeepMind. - Alejandro L. García Navarro; Nataliia Koneva; Alfonso Sánchez-Macián; José Alberto Hernández 001; Manuel Goyanes (CoRR, 2024)

CTGANs for Generating Synthetic Traffic Matrices in Wide Area Networks. - Alejandro L. García Navarro; Nataliia Koneva; Alfonso Sánchez-Macián; José Alberto Hernández 001; Óscar González de Dios (ONDM, 2025)

Introducing Large Language Models as the Next Challenging Internet Traffic Source. - Nataliia Koneva; Alejandro L. García Navarro; Alfonso Sánchez-Macián; José Alberto Hernández 001; Moshe Zukerman; Óscar González de Dios (CoRR, 2025)