Adaptive Modulation and Coding Based on Reinforcement Learning for 5G Networks. - Mateus P. Mota; Daniel C. Araujo 001; Francisco Hugo Costa Neto; André L. F. de Almeida; Francisco Rodrigo P. Cavalcanti (GLOBECOM Workshops, 2019)

The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning. - Mateus P. Mota; Alvaro Valcarce; Jean-Marie Gorce; Jakob Hoydis (GLOBECOM (Workshops), 2021)

Uplink Power Control Framework Based on Reinforcement Learning for 5G Networks. - Francisco Hugo Costa Neto; Daniel Costa Araújo 001; Mateus P. Mota; Tarcisio F. Maciel; André L. F. de Almeida (IEEE Trans. Veh. Technol., 2021)

Scalable Joint Learning of Wireless Multiple-Access Policies and their Signaling. - Mateus P. Mota; Alvaro Valcarce; Jean-Marie Gorce (VTC Spring, 2022)

Emergent Communication Protocol Learning for Task Offloading in Industrial Internet of Things. - Salwa Mostafa; Mateus P. Mota; Alvaro Valcarce; Mehdi Bennis (GLOBECOM, 2023)

On Scaling Latency-Aware MAC Communication Protocols with a Hierarchical Network Topology. - Septimia Sarbu; Mateus P. Mota; Mehdi Bennis (ICC, 2024)

Intent-Aware DRL-Based Uplink Dynamic Scheduler for 5G-NR. - Salwa Mostafa; Mateus P. Mota; Alvaro Valcarce; Mehdi Bennis (CoRR, 2024)

Protocol emergence with multi-agent reinforcement learning. (Émergence de protocoles avec apprentissage par renforcement multi-agents). - Mateus P. Mota (2024)