Paulo Serafim

According to our database, Paulo Serafim authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

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 A. Vidal, Joaquim B. Cavalcante Neto, Artur O. R. Franco, Paulo Bruno S. Serafim

Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment, 2023

2022

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

Proceedings of the 21st Brazilian Symposium on Computer Games and Digital Entertainment, 2022

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

Proceedings of the 20th Brazilian Symposium on Computer Games and Digital Entertainment, 2021

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

Proceedings of the 20th Brazilian Symposium on Computer Games and Digital Entertainment, 2021

2020

Autonomous Foraging with SARSA-based Deep Reinforcement Learning.

Anderson Mesquita, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim B. Cavalcante Neto, Paulo Serafim

Proceedings of the 22nd Symposium on Virtual and Augmented Reality, 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

Proceedings of the 19th Brazilian Symposium on Computer Games and Digital Entertainment, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the 18th Brazilian Symposium on Computer Games and Digital Entertainment, 2019

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

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

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

Proceedings of the 17th Brazilian Symposium on Computer Games and Digital Entertainment, SBGames 2018, Foz do Iguaçu, Brazil, October 29, 2018

2017

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

Proceedings of the 16th Brazilian Symposium on Computer Games and Digital Entertainment, 2017