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Paulo Serafim
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2020 – today
- 2024
- [j1]Pierluigi Crescenzi
, Emanuele Natale
, Aurora Rossi
, Paulo Bruno S. Serafim
:
WorldDynamics.jl: A Julia Package for Developing and Simulating Integrated Assessment Models. J. Open Source Softw. 9(96): 5772 (2024) - [c12]Paulo Bruno S. Serafim, Pierluigi Crescenzi, Gizem Gezici, Eleonora Cappuccio, Salvatore Rinzivillo, Fosca Giannotti:
Exploring Large Language Models Capabilities to Explain Decision Trees. HHAI 2024: 64-72 - 2023
- [c11]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
:
Unveiling the Key Features Influencing Game Agents with Different Levels of Robustness. SBGames 2023: 86-95 - 2022
- [c10]Hyuan P. Farrapo, Rômulo F. F. Filho, José G. R. Maia, Paulo Bruno de Sousa Serafim:
DRLeague: a Novel 3D Environment for Training Reinforcement Learning Agents. SBGAMES 2022: 1-6 - 2021
- [c9]Paulo Bruno S. Serafim
, Yuri Lenon B. Nogueira, Joaquim B. Cavalcante Neto, Creto Augusto Vidal:
Assessing the Robustness of Deep Q-Network Agents to Changes on Game Object Textures. SBGames 2021: 19-28 - [c8]Rômulo Férrer Filho, Yuri Lenon Barbosa Nogueira, Creto Augusto Vidal, Joaquim Bento Cavalcante Neto, Paulo Bruno de Sousa Serafim
:
Gym Hero: A Research Environment for Reinforcement Learning Agents in Rhythm Games. SBGames 2021: 87-96 - 2020
- [c7]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:
A Novel Approach for Automatic Enhancement of Fingerprint Images via Deep Transfer Learning. IJCNN 2020: 1-8 - [c6]Paulo Bruno de Sousa Serafim
, Yuri Lenon Barbosa Nogueira, Creto Augusto Vidal, Joaquim Bento Cavalcante Neto, Rômulo Férrer Filho:
Investigating Deep Q-Network Agent Sensibility to Texture Changes on FPS Games. SBGames 2020: 117-125 - [c5]Anderson Mesquita, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim B. Cavalcante Neto, Paulo Serafim
:
Autonomous Foraging with SARSA-based Deep Reinforcement Learning. SVR 2020: 425-433
2010 – 2019
- 2019
- [c4]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:
A Method based on Convolutional Neural Networks for Fingerprint Segmentation. IJCNN 2019: 1-8 - [c3]Matheus G. Cordeiro
, Paulo Bruno S. Serafim
, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim B. Cavalcante Neto:
A Minimal Training Strategy to Play Flappy Bird Indefinitely with NEAT. SBGames 2019: 21-28 - 2018
- [c2]Paulo Bruno S. Serafim
, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim B. Cavalcante Neto:
Evaluating Competition in Training of Deep Reinforcement Learning Agents in First-Person Shooter Games. SBGames 2018: 117-126 - 2017
- [c1]Paulo Serafim
, Yuri Lenon B. Nogueira, Creto Augusto Vidal, Joaquim Bento Cavalcante Neto:
On the Development of an Autonomous Agent for a 3D First-Person Shooter Game Using Deep Reinforcement Learning. SBGames 2017: 155-163
Coauthor Index
aka: Joaquim Bento Cavalcante Neto
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last updated on 2024-07-25 20:19 CEST by the dblp team
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