Using Self-Attention LSTMs to Enhance Observations in Goal Recognition. - Leonardo Amado; Gabriel Paludo Licks; Matheus Marcon; Ramon Fraga Pereira; Felipe Meneguzzi (IJCNN, 2020)

SmartIX: A database indexing agent based on reinforcement learning. - Gabriel Paludo Licks; Júlia Mara Colleoni Couto; Priscilla de Fátima Miehe; Renata De Paris; Duncan Dubugras A. Ruiz; Felipe Meneguzzi (Appl. Intell., 2020)

Automated Database Indexing using Model-free Reinforcement Learning. - Gabriel Paludo Licks; Felipe Meneguzzi (CoRR, 2020)

Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes. - Alessandro Ronca; Gabriel Paludo Licks; Giuseppe De Giacomo (IJCAI, 2022)

Monte Carlo Tree Search with State Merging for Reinforcement Learning in Regular Decision Processes (Short paper). - Gabriel Paludo Licks (DC@AI*IA, 2023)

Monte Carlo Tree Search with State Merging for Reinforcement Learning in Regular Decision Processes. - Gabriel Paludo Licks; Fabio Patrizi; Giuseppe De Giacomo (ECAI, 2024)

Enhancing Deep Sequence Generation with Logical Temporal Knowledge. - Elena Umili; Gabriel Paludo Licks; Fabio Patrizi (PMAI@ECAI, 2024)

Automated Planning for Optimal Data Pipeline Instantiation. - Leonardo Rosa Amado; Adriano Vogel; Dalvan Griebler; Gabriel Paludo Licks; Eric Simon; Felipe Meneguzzi (CoRR, 2025)