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Paulo Bruno Serafim
Paulo Bruno Serafim
Gran Sasso Science Institute
Verified email at gssi.it - Homepage
Title
Cited by
Cited by
Year
A method based on convolutional neural networks for fingerprint segmentation
PBS Serafim, AG Medeiros, PAL Rego, JGR Maia, FAM Trinta, MEF Maia, ...
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
182019
On the development of an autonomous agent for a 3d first-person shooter game using deep reinforcement learning
PBS Serafim, YLB Nogueira, C Vidal, J Cavalcante-Neto
2017 16th Brazilian Symposium on Computer Games and Digital Entertainment …, 2017
102017
A minimal training strategy to play flappy bird indefinitely with NEAT
MG Cordeiro, PBS Serafim, YLB Nogueira, CA Vidal, JBC Neto
2019 18th Brazilian Symposium on Computer Games and Digital Entertainment …, 2019
92019
Towards playing a 3d first-person shooter game using a classification deep neural network architecture
PBS Serafim, YLB Nogueira, CA Vidal, JBC Neto
2017 19th Symposium on Virtual and Augmented Reality (SVR), 120-126, 2017
92017
Evaluating competition in training of deep reinforcement learning agents in first-person shooter games
PBS Serafim, YLB Nogueira, CA Vidal, JBC Neto
2018 17th Brazilian Symposium on Computer Games and Digital Entertainment …, 2018
72018
Investigating deep q-network agent sensibility to texture changes on FPS games
PB de Sousa Serafim, YLB Nogueira, CA Vidal, JB Cavalcante-Neto, ...
2020 19th Brazilian Symposium on Computer Games and Digital Entertainment …, 2020
32020
Autonomous foraging with sarsa-based deep reinforcement learning
A Mesquita, Y Nogueira, C Vidal, J Cavalcante-Neto, P Serafim
2020 22nd Symposium on Virtual and Augmented Reality (SVR), 425-433, 2020
32020
A novel approach for automatic enhancement of fingerprint images via deep transfer learning
AG Medeiros, JPB Andrade, PBS Serafim, AMM Santos, JGR Maia, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
32020
Assessing the Robustness of Deep Q-Network Agents to Changes on Game Object Textures
PBS Serafim, YLB Nogueira, JB Cavalcante-Neto, CA Vidal
2021 20th Brazilian Symposium on Computer Games and Digital Entertainment …, 2021
12021
Avaliação da competição no treino de agentes autônomos com Aprendizado Profundo por Reforço em jogos de Tiro em Primeira Pessoa
PBS Serafim
12018
Unveiling the Key Features Influencing Game Agents with Different Levels of Robustness
AMM Santos, HR Rodrigues, RFF Filho, YLB Nogueira, CA Vidal, ...
Proceedings of the 22nd Brazilian Symposium on Games and Digital …, 2023
2023
DRLeague: a Novel 3D Environment for Training Reinforcement Learning Agents
HP Farrapo, FF Rômulo Filho, JGR Maia, PBS Serafim
2022 21st Brazilian Symposium on Computer Games and Digital Entertainment …, 2022
2022
Gym Hero: A Research Environment for Reinforcement Learning Agents in Rhythm Games
RF Férrer Filho, YLB Nogueira, CA Vidal, JB Cavalcante-Neto, ...
2021 20th Brazilian Symposium on Computer Games and Digital Entertainment …, 2021
2021
2022 21st Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)| 978-1-6654-6156-6/22/$31.00© 2022 IEEE| DOI: 10.1109/SBGAMES56371. 2022.9961075
AA dos Santos, A Simoes, AA da Silva, AR Tavares, A Furtado, ...
SBGames 2021
ES de Lima, B Feijó, PB Serafim, YL Nogueira, T Ferreira, E Clua, ...
Viana, Breno MF 29 Vidal, Creto A. 21
C Andrade, FL Araújo, A Baffa, R Baptista Queiroz, G Barbosa, LF Bicalho, ...
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