Design and evaluation of a hypervideo environment to support veterinary surgery learning. - Claudio A. B. Tiellet; André Grahl Pereira; Eliseo Berni Reategui; José Valdeni de Lima; Teresa Chambel (HT, 2010)

HVet: a hypervideo environment to support veterinary surgery learning. - Claudio A. B. Tiellet; André Grahl Pereira; Eliseo Berni Reategui; José Valdeni de Lima; Teresa Chambel (HT, 2010)

Data assimilation using NeuroEvolution of Augmenting Topologies. - André Grahl Pereira; Adriano Petry (IJCNN, 2012)

Finding Optimal Solutions to Sokoban Using Instance Dependent Pattern Databases. - André Grahl Pereira; Marcus Ritt; Luciana Salete Buriol (SOCS, 2013)

Solving Sokoban Optimally with Domain-Dependent Move Pruning. - Renato R. Leme; André Grahl Pereira; Marcus Ritt; Luciana S. Buriol (BRACIS, 2015)

Optimal Sokoban solving using pattern databases with specific domain knowledge. - André Grahl Pereira; Marcus Ritt; Luciana S. Buriol (Artif. Intell., 2015)

Improved Airport Ground Traffic Control with Domain-Dependent Heuristics. - Augusto B. Corrêa; André Grahl Pereira; Marcus Ritt (BRACIS, 2016)

Improved Heuristic and Tie-Breaking for Optimally Solving Sokoban. - André Grahl Pereira; Robert Holte; Jonathan Schaeffer 001; Luciana S. Buriol; Marcus Ritt (IJCAI, 2016)

Pull and PushPull are PSPACE-complete. - André Grahl Pereira; Marcus Ritt; Luciana S. Buriol (Theor. Comput. Sci., 2016)

Solving moving-blocks problems. - André Grahl Pereira (2016)

An approximate nearest neighbors search algorithm for low-dimensional grid locations. - Adriano Petry; André Grahl Pereira; Jonas Rodrigues de Souza (Earth Sci. Informatics, 2017)

Analyzing Tie-Breaking Strategies for the A* Algorithm. - Augusto B. Corrêa; André Grahl Pereira; Marcus Ritt (IJCAI, 2018)

Landmark-Enhanced Heuristics for Goal Recognition in Incomplete Domain Models. - Ramon Fraga Pereira; André Grahl Pereira; Felipe Meneguzzi (ICAPS, 2019)

Procedural Generation of Initial States of Sokoban. - Dâmaris S. Bento; André Grahl Pereira; Levi H. S. Lelis (IJCAI, 2019)

Robust Goal Recognition with Operator-Counting Heuristics. - Felipe Meneguzzi; André Grahl Pereira; Ramon Fraga Pereira (CoRR, 2019)

Sequencing Operator Counts with State-Space Search. - Wesley L. Kaizer; André Grahl Pereira; Marcus Ritt (ICAPS, 2020)

An LP-Based Approach for Goal Recognition as Planning. - Luísa R. de A. Santos; Felipe Meneguzzi; Ramon Fraga Pereira; André Grahl Pereira (AAAI, 2021)

PEA*+IDA*: An Improved Hybrid Memory-Restricted Algorithm. - Frederico Messa; André Grahl Pereira (AAAI, 2022)

Iterative Depth-First Search for FOND Planning. - Ramon Fraga Pereira; André Grahl Pereira; Frederico Messa; Giuseppe De Giacomo (ICAPS, 2022)

Iterative Depth-First Search for Fully Observable Non-Deterministic Planning. - Ramon Fraga Pereira; André Grahl Pereira; Frederico Messa; Giuseppe De Giacomo (CoRR, 2022)

A Best-First Search Algorithm for FOND Planning and Heuristic Functions to Optimize Decompressed Solution Size. - Frederico Messa; André Grahl Pereira (ICAPS, 2023)

New approaches to improve nearest neighbors (NN) search in ionospheric simulation system. - Telmo dos Santos Klipp; Adriano Petry; Rhauani Weber Aita Fazul; Lucas Ferreira da Silva; Iago da Cunha Corrêa; Andrea Schwertner Charão; André Grahl Pereira (Earth Sci. Informatics, 2023)

Policy-Space Search: Equivalences, Improvements, and Compression. - Frederico Messa; André Grahl Pereira (CoRR, 2024)

Goal Recognition via Linear Programming. - Felipe Meneguzzi; Luísa R. de A. Santos; Ramon Fraga Pereira; André Grahl Pereira (CoRR, 2024)

Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code. - Augusto B. Corrêa; André Grahl Pereira; Jendrik Seipp (CoRR, 2025)