On the Development of an Autonomous Agent for a 3D First-Person Shooter Game Using Deep Reinforcement Learning. - Paulo Serafim; Yuri Lenon B. Nogueira; Creto Augusto Vidal; Joaquim Bento Cavalcante Neto (SBGames, 2017)

Evaluating Competition in Training of Deep Reinforcement Learning Agents in First-Person Shooter Games. - Paulo Bruno S. Serafim; Yuri Lenon B. Nogueira; Creto Augusto Vidal; Joaquim B. Cavalcante Neto (SBGames, 2018)

A Method based on Convolutional Neural Networks for Fingerprint Segmentation. - Paulo Bruno S. Serafim; Aldísio Gonçalves Medeiros; Paulo A. L. Rego; José Gilvan Rodrigues Maia; Fernando Antonio Mota Trinta; Marcio E. F. Maia; José Antônio Fernandes de Macêdo; Aloísio Vieira Lira Neto (IJCNN, 2019)

A Minimal Training Strategy to Play Flappy Bird Indefinitely with NEAT. - Matheus G. Cordeiro; Paulo Bruno S. Serafim; Yuri Lenon B. Nogueira; Creto Augusto Vidal; Joaquim B. Cavalcante Neto (SBGames, 2019)

A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning. - Aldísio Gonçalves Medeiros; João P. B. Andrade; Paulo Bruno S. Serafim; Alexandre M. M. Santos; José G. R. Maia; Fernando Antonio Mota Trinta; José A. F. de Macêdo; Pedro P. R. Filho; Paulo A. L. Rego (IJCNN, 2020)

Investigating Deep Q-Network Agent Sensibility to Texture Changes on FPS Games. - Paulo Bruno de Sousa Serafim; Yuri Lenon Barbosa Nogueira; Creto Augusto Vidal; Joaquim Bento Cavalcante Neto; Rômulo Férrer Filho (SBGames, 2020)

Autonomous Foraging with SARSA-based Deep Reinforcement Learning. - Anderson Mesquita; Yuri Lenon B. Nogueira; Creto Augusto Vidal; Joaquim B. Cavalcante Neto; Paulo Serafim (SVR, 2020)

Gym Hero: A Research Environment for Reinforcement Learning Agents in Rhythm Games. - Rômulo Férrer Filho; Yuri Lenon Barbosa Nogueira; Creto Augusto Vidal; Joaquim Bento Cavalcante Neto; Paulo Bruno de Sousa Serafim (SBGames, 2021)

Assessing the Robustness of Deep Q-Network Agents to Changes on Game Object Textures. - Paulo Bruno S. Serafim; Yuri Lenon B. Nogueira; Joaquim B. Cavalcante Neto; Creto Augusto Vidal (SBGames, 2021)

DRLeague: a Novel 3D Environment for Training Reinforcement Learning Agents. - Hyuan P. Farrapo; Rômulo F. F. Filho; José G. R. Maia; Paulo Bruno de Sousa Serafim (SBGAMES, 2022)

Unveiling the Key Features Influencing Game Agents with Different Levels of Robustness. - Alexandre M. M. Santos; Halisson R. Rodrigues; Rômulo Férrer Filho; Yuri Lenon B. Nogueira; Creto Augusto Vidal; Joaquim B. Cavalcante Neto; Artur O. R. Franco; Paulo Bruno S. Serafim (SBGames, 2023)

Exploring Large Language Models Capabilities to Explain Decision Trees. - Paulo Bruno S. Serafim; Pierluigi Crescenzi; Gizem Gezici; Eleonora Cappuccio; Salvatore Rinzivillo; Fosca Giannotti (HHAI, 2024)

Using Curriculum to Train Multisensory Foraging DRL Agents. - Rômulo F. F. Filho; Alexandre M. M. Santos; Halisson R. Rodrigues; Yuri Lenon B. Nogueira; Creto Augusto Vidal; Joaquim B. Cavalcante Neto; Paulo Bruno S. Serafim (SBGames, 2024)

WorldDynamics.jl: A Julia Package for Developing and Simulating Integrated Assessment Models. - Pierluigi Crescenzi; Emanuele Natale; Aurora Rossi; Paulo Bruno S. Serafim (J. Open Source Softw., 2024)