Stealthy Path Planning Using Navigation Meshes. - Matheus R. F. Mendonça; Heder S. Bernardino; Raul Fonseca Neto (BRACIS, 2015)

Simulating Human Behavior in Fighting Games Using Reinforcement Learning and Artificial Neural Networks. - Matheus R. F. Mendonça; Heder S. Bernardino; Raul Fonseca Neto (SBGames, 2015)

Abstract State Transition Graphs for Model-Based Reinforcement Learning. - Matheus Ribeiro Furtado de Mendonca; Artur Ziviani; André da Motta Salles Barreto (BRACIS, 2018)

Network-Based Procedural Story Generation. - Matheus R. F. Mendonça; Artur Ziviani (Comput. Entertain., 2018)

Reinforcement learning with optimized reward function for stealth applications. - Matheus R. F. Mendonça; Heder S. Bernardino; Raul Fonseca Neto (Entertain. Comput., 2018)

Laplacian using Abstract State Transition Graphs: A Framework for Skill Acquisition. - Matheus R. F. Mendonça; Artur Ziviani; André Barreto 001 (BRACIS, 2019)

Graph-Based Skill Acquisition For Reinforcement Learning. - Matheus R. F. Mendonça; Artur Ziviani; André da Motta Salles Barreto (ACM Comput. Surv., 2019)

Approximating Network Centrality Measures Using Node Embedding and Machine Learning. - Matheus R. F. Mendonça; André Barreto 001; Artur Ziviani (IEEE Trans. Netw. Sci. Eng., 2021)

Efficient information diffusion in time-varying graphs through deep reinforcement learning. - Matheus R. F. Mendonça; André da Motta Salles Barreto; Artur Ziviani (World Wide Web, 2022)

A Survey on Embedding Dynamic Graphs. - Claudio Daniel Tenorio de Barros; Matheus R. F. Mendonça; Alex Borges Vieira; Artur Ziviani (ACM Comput. Surv., 2023)

Adapting a World Model for Trajectory Following in a 3D Game. - Marko Tot; Shu Ishida; Abdelhak Lemkhenter; David Bignell; Pallavi Choudhury; Chris Lovett; Luis França; Matheus Ribeiro Furtado de Mendonca; Tarun Gupta; Darren Gehring; Sam Devlin; Sergio Valcarcel Macua; et al. (CoRR, 2025)