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ORCIDCharles A. G. Madeira
Person information
- affiliation: Federal University of Rio Grande do Norte, Natal, Brazil
- affiliation (former): Pierre and Marie Curie University, Paris, France
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Journal Articles
- 2025
[j4]Gabriel Caldas Barros e Sá
, Charles Andryê Galvão Madeira:
Deep reinforcement learning in real-time strategy games: a systematic literature review. Appl. Intell. 55(3): 243 (2025)- 2024
- [j3]Walter Lopes Neto, Philipy A. Silveira de Brito, Inácia F. da Costa Neta, Charles A. G. Madeira:
Proposal for a gamification strategy applied to remote learning. J. Interact. Syst. 15(1): 92-103 (2024) - 2021
- [j2]Jeanne da Silva Barbosa Bulcão, Charles Andryê Galvão Madeira, Carlos Artur Santos Guimarães, Crisiany Alves de Sousa:
Capacitando Professores no Programa Norte-rio-grandense de Pensamento Computacional. Revista Brasileira de Informática na Educ. 29: 1178-1201 (2021) - 2009
- [j1]Charles A. G. Madeira, Vincent Corruble:
STRADA, une approche adaptative pour les jeux de stratégie modernes. Rev. d'Intelligence Artif. 23(2-3): 293-326 (2009)
Conference and Workshop Papers
- 2024
- [c12]Eduardo Henrique Nascimento, Roberta Coelho, Charles A. G. Madeira, Kláudio Medeiros, Lucas Silva, Carlos Oliveira Neto:
Definição e Avaliação de uma Abordagem Gamificada para o Ensino de Teste de Software. SBES 2024: 455-465 - [c11]André Parducci Soares de Lima, Charles Andryê Galvão Madeira:
Missões em Jogos Digitais de RPG para o Ensino e Aprendizagem de Geometria. SBGames 2024: 1071-1081 - [c10]Fábio Thierry Domingues da Silva, Charles Andryê Galvão Madeira:
Estratégias Adaptadas aos Jogos Digitais de RPG para o Ensino e Aprendizagem Cartográfica. SBGames 2024: 1105-1114 - 2020
- [c9]Marco A. S. Araùjo, Luiz P. C. Alves, Charles A. G. Madeira, Marcos M. Nóbrega:
URNAI: A Multi-Game Toolkit for Experimenting Deep Reinforcement Learning Algorithms. SBGames 2020: 178-187 - 2019
- [c8]Jorge Felliphe Rodrigues Barbosa, Charles Andryê Galvão Madeira:
PlayEduc: A Conceptual Framework for the Development of Digital Educational Games. ICALT 2019: 103-104 - 2015
- [c7]Caio Freitas de Oliveira, Charles Andryê Galvão Madeira:
Creating efficient walls using potential fields in real-time strategy games. CIG 2015: 138-145 - 2011
- [c6]Charles A. G. Madeira, Vincent Corruble:
Combining Reinforcement Learning with a Multi-level Abstraction Method to Design a Powerful Game AI. SBGames 2011: 132-140 - 2008
- [c5]Jean-Gabriel Ganascia, Charles A. G. Madeira, Karan Fouladi:
An Adaptive Cartography of DTV Programs. EuroITV 2008: 253-262 - 2006
- [c4]Charles A. G. Madeira, Vincent Corruble, Geber L. Ramalho:
Designing a Reinforcement Learning-based Adaptive AI for Large-Scale Strategy Games. AIIDE 2006: 121-123 - 2005
- [c3]Charles A. G. Madeira, Vincent Corruble, Geber L. Ramalho:
Generating Adequate Representations for Learning from Interaction in Complex Multiagent Simulations. IAT 2005: 512-515 - 2002
- [c2]Vincent Corruble, Charles A. G. Madeira, Geber L. Ramalho:
Steps toward Building of a Good AI for Complex Wargame-Type Simulation Games. GAME-ON 2002 - 2000
- [c1]Hendrik T. Macedo, Alessandro C. M. de Araújo, Dave A. T. Cavalcanti, Rogério de C. Andrade, Charles A. G. Madeira, Carlos André Guimarães Ferraz:
Evaluating Multi user Distributed Action Games Architectures on a Corba Platform. PDPTA 2000
Editorship
- 2022
- [e1]Alyson Matheus de Carvalho Souza, Charles Andryê Galvão Madeira, Julio César Paulino de Melo, Luiz Marcos Garcia Gonçalves:
21st Brazilian Symposium on Computer Games and Digital Entertainment, SBGames 2022, Natal, Brazil, October 24-27, 2022. IEEE 2022, ISBN 978-1-6654-6156-6 [contents]
Coauthor Index
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