Felipe Leno da Silva

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Learning Systems

Indoor Environments

Reinforcement Learning

Top Venues

Publications

Donté Harris, Felipe Leno da Silva, Wencong Su, Ruben Glatt
A Review on Simulation Platforms for Agent-Based Modeling in Electrified Transportation. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno da Silva, Can Huang, Lingxiao Xue, Ruben Glatt
Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters. ICNC (2023)
Felipe Leno da Silva, Patrick MacAlpine, Roxana Radulescu, Fernando P. Santos, Patrick Mannion
Special issue on adaptive and learning agents 2020. Neural Comput. Appl. 34 (3) (2022)
Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno da Silva, Can Huang, Linxiao Xue, Ruben Glatt
Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning. IEEE Access 10 (2022)
Ruben Glatt, Felipe Leno da Silva, Braden Soper, William A. Dawson, Edward Rusu, Ryan A. Goldhahn
Collaborative energy demand response with decentralized actor and centralized critic. BuildSys@SenSys (2021)
Felipe Leno da Silva, Silvio Stanzani, Jefferson Fialho, Jorge Mondadori, Muriel Mazzetto, Felipe Sanches Couto, Raphael Cóbe
Designing a Hybrid AI Residency. AAAI (2021)
Felipe Leno da Silva, Cyntia Eico Hayama Nishida, Diederik M. Roijers, Anna Helena Reali Costa
Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning. IEEE Trans. Smart Grid 11 (3) (2020)
Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
Agents teaching agents: a survey on inter-agent transfer learning. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI (2020)
Ruben Glatt, Felipe Leno da Silva, Reinaldo Augusto da Costa Bianchi, Anna Helena Reali Costa
: Deep Case-based Policy Inference for knowledge transfer in Reinforcement Learning. Expert Syst. Appl. 156 (2020)
Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
Agents Teaching Agents: A Survey on Inter-agent Transfer Learning. AAMAS (2020)
Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). AAAI (2020)
Felipe Leno da Silva, Anna Helena Reali Costa
A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems. J. Artif. Intell. Res. 64 (2019)
Felipe Leno da Silva, Anna Helena Reali Costa, Peter Stone
Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games. BRACIS (2019)
Felipe Leno da Silva
Integrating Agent Advice and Previous Task Solutions in Multiagent Reinforcement Learning. AAMAS (2019)
Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning. IEEE Trans. Cybern. 49 (2) (2019)
Felipe Leno da Silva, Anna Helena Reali Costa
Object-Oriented Curriculum Generation for Reinforcement Learning. AAMAS (2018)
Felipe Leno da Silva, Matthew E. Taylor, Anna Helena Reali Costa
Autonomously Reusing Knowledge in Multiagent Reinforcement Learning. IJCAI (2018)
Rodrigo Cesar Bonini, Felipe Leno da Silva, Ruben Glatt, Edison Spina, Anna Helena Reali Costa
A Framework to Discover and Reuse Object-Oriented Options in Reinforcement Learning. BRACIS (2018)
Juan Carlos Perafan Villota, Felipe Leno da Silva, Ricardo de Souza Jacomini, Anna Helena Reali Costa
Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues. Image Vis. Comput. 69 (2018)
Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
An Advising Framework for Multiagent Reinforcement Learning Systems. AAAI (2017)
Geovandro C. C. F. Pereira, Renan C. A. Alves, Felipe Leno da Silva, Roberto M. Azevedo, Bruno C. Albertini, Cíntia B. Margi
Performance Evaluation of Cryptographic Algorithms over IoT Platforms and Operating Systems. Secur. Commun. Networks 2017 (2017)
Rodrigo Cesar Bonini, Felipe Leno da Silva, Edison Spina, Anna Helena Reali Costa
Using Options to Accelerate Learning of New Tasks According to Human Preferences. AAAI Workshops (2017)
Rodrigo Cesar Bonini, Felipe Leno da Silva, Anna Helena Reali Costa
Learning Options in Multiobjective Reinforcement Learning. AAAI (2017)
Ricardo de Souza Jacomini, David Correa Martins Jr., Felipe Leno da Silva, Anna Helena Reali Costa
GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis. J. Comput. Biol. 24 (8) (2017)
Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
Simultaneously Learning and Advising in Multiagent Reinforcement Learning. AAMAS (2017)
Felipe Leno da Silva, Anna Helena Reali Costa
Accelerating Multiagent Reinforcement Learning through Transfer Learning. AAAI (2017)
Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
Object-Oriented Reinforcement Learning in Cooperative Multiagent Domains. BRACIS (2016)
Ricardo de Souza Jacomini, David Correa Martins Jr., Felipe Leno da Silva, Anna Helena Reali Costa
A Framework for Scalable Inference of Temporal Gene Regulatory Networks based on Clustering and Multivariate Analysis. BAI@IJCAI (2016)
Felipe Leno da Silva, Anna Helena Reali Costa
Transfer Learning for Multiagent Reinforcement Learning Systems. IJCAI (2016)
Ruben Glatt, Felipe Leno da Silva, Anna Helena Reali Costa
Towards Knowledge Transfer in Deep Reinforcement Learning. BRACIS (2016)
Felipe Leno da Silva, Marina Lopes Grassi Sella, Tiago Mauricio Francoy, Anna Helena Reali Costa
Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Comput. Electron. Agric. 114 (2015)
Fabiana Soares Santana, Anna Helena Reali Costa, Flavio Sales Truzzi, Felipe Leno da Silva, Sheila L. Santos, Tiago Mauricio Francoy, Antonio Mauro Saraiva
A reference process for automating bee species identification based on wing images and digital image processing. Ecol. Informatics 24 (2014)