Felipe Leno da Silva

37 papers A* 9A 4Misc 1Journal 15Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines - an Emerging Trend. AAAI Felipe Leno da Silva, Mikel Landajuela, Edwin A. Saada, Piyush Karande, Sudeep Sarma, Igor D'Angelo, Simone Conti, Daniel M. Faissol
2025	J	`jnl`	Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics. CoRR Conor F. Hayes, Felipe Leno da Silva, Jiachen Yang, T. Nathan Mundhenk, Chak Shing Lee, Jacob F. Pettit, Claudio Santiago, Sookyung Kim, Joanne Taery Kim, Ignacio Aravena Solis, Ruben Glatt, Andre R. Goncalves, Alexander Ladd, Ahmet Can Solak, Thomas Desautels, Daniel M. Faissol, Brenden K. Petersen, Mikel Landajuela
2025	J	`jnl`	Language model-accelerated deep symbolic optimization. Neural Comput. Appl. Felipe Leno da Silva, Andre R. Goncalves, Sam Nguyen, Denis Vashchenko, Ruben Glatt, Thomas Desautels, Mikel Landajuela, Daniel M. Faissol, Brenden K. Petersen
2025	J	`jnl`	Oracle-RLAIF: An Improved Fine-Tuning Framework for Multi-modal Video Models through Reinforcement Learning from Ranking Feedback. CoRR Derek Shi, Ruben Glatt, Christine Klymko, Shubham Mohole, Hongjun Choi, Shashank Kushwaha, Sam Sakla, Felipe Leno da Silva
2024	J	`jnl`	A Review on Simulation Platforms for Agent-Based Modeling in Electrified Transportation. IEEE Trans. Intell. Transp. Syst. Donté Harris, Felipe Leno da Silva, Wencong Su, Ruben Glatt
2023	Misc	`conf`	Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters. ICNC Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno da Silva, Can Huang, Lingxiao Xue, Ruben Glatt
2022	J	`jnl`	Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning. IEEE Access Van-Hai Bui, Fangyuan Chang, Wencong Su, Mengqi Wang, Yi Lu Murphey, Felipe Leno da Silva, Can Huang, Lingxiao Xue, Ruben Glatt
2022	J	`jnl`	Special issue on adaptive and learning agents 2020. Neural Comput. Appl. Felipe Leno da Silva, Patrick MacAlpine, Roxana Radulescu, Fernando P. Santos, Patrick Mannion
2021	—	`conf`	Collaborative energy demand response with decentralized actor and centralized critic. BuildSys Ruben Glatt, Felipe Leno da Silva, Braden Soper, William A. Dawson, Edward Rusu, Ryan A. Goldhahn
2021	A*	`conf`	Designing a Hybrid AI Residency. AAAI Felipe Leno da Silva, Silvio Stanzani, Jefferson Fialho, Jorge Mondadori, Muriel Mazzetto, Felipe Sanches Couto, Raphael Cóbe
2021	—	`book`	Transfer Learning for Multiagent Reinforcement Learning Systems Felipe Leno da Silva, Anna Helena Reali Costa
2020	A	`conf`	Agents Teaching Agents: A Survey on Inter-agent Transfer Learning. AAMAS Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
2020	J	`jnl`	Agents teaching agents: a survey on inter-agent transfer learning. Auton. Agents Multi Agent Syst. Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
2020	J	`jnl`	Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning. IEEE Trans. Smart Grid Felipe Leno da Silva, Cyntia Eico Hayama Nishida, Diederik M. Roijers, Anna Helena Reali Costa
2020	A*	`conf`	Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). AAAI Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2020	A*	`conf`	Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	J	`jnl`	A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems. J. Artif. Intell. Res. Felipe Leno da Silva, Anna Helena Reali Costa
2019	—	`conf`	Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games. BRACIS Felipe Leno da Silva, Anna Helena Reali Costa, Peter Stone
2019	A	`conf`	Integrating Agent Advice and Previous Task Solutions in Multiagent Reinforcement Learning. AAMAS Felipe Leno da Silva
2019	J	`jnl`	MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning. IEEE Trans. Cybern. Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
2018	—	`conf`	A Framework to Discover and Reuse Object-Oriented Options in Reinforcement Learning. BRACIS Rodrigo Cesar Bonini, Felipe Leno da Silva, Ruben Glatt, Edison Spina, Anna Helena Reali Costa
2018	A*	`conf`	Autonomously Reusing Knowledge in Multiagent Reinforcement Learning. IJCAI Felipe Leno da Silva, Matthew E. Taylor, Anna Helena Reali Costa
2018	A	`conf`	Object-Oriented Curriculum Generation for Reinforcement Learning. AAMAS Felipe Leno da Silva, Anna Helena Reali Costa
2018	J	`jnl`	Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues. Image Vis. Comput. Juan Carlos Perafan Villota, Felipe Leno da Silva, Ricardo de Souza Jacomini, Anna Helena Reali Costa
2017	A*	`conf`	Accelerating Multiagent Reinforcement Learning through Transfer Learning. AAAI Felipe Leno da Silva, Anna Helena Reali Costa
2017	A*	`conf`	An Advising Framework for Multiagent Reinforcement Learning Systems. AAAI Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
2017	J	`jnl`	GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis. J. Comput. Biol. Ricardo de Souza Jacomini, David Correa Martins Jr., Felipe Leno da Silva, Anna Helena Reali Costa
2017	A*	`conf`	Learning Options in Multiobjective Reinforcement Learning. AAAI Rodrigo Cesar Bonini, Felipe Leno da Silva, Anna Helena Reali Costa
2017	J	`jnl`	Performance Evaluation of Cryptographic Algorithms over IoT Platforms and Operating Systems. Secur. Commun. Networks Geovandro C. C. F. Pereira, Renan C. A. Alves, Felipe Leno da Silva, Roberto M. Azevedo, Bruno C. Albertini, Cíntia B. Margi
2017	A	`conf`	Simultaneously Learning and Advising in Multiagent Reinforcement Learning. AAMAS Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
2017	—	`conf`	Using Options to Accelerate Learning of New Tasks According to Human Preferences. AAAI Workshops Rodrigo Cesar Bonini, Felipe Leno da Silva, Edison Spina, Anna Helena Reali Costa
2016	—	`conf`	A Framework for Scalable Inference of Temporal Gene Regulatory Networks based on Clustering and Multivariate Analysis. BAI@IJCAI Ricardo de Souza Jacomini, David Correa Martins Jr., Felipe Leno da Silva, Anna Helena Reali Costa
2016	—	`conf`	Object-Oriented Reinforcement Learning in Cooperative Multiagent Domains. BRACIS Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
2016	—	`conf`	Towards Knowledge Transfer in Deep Reinforcement Learning. BRACIS Ruben Glatt, Felipe Leno da Silva, Anna Helena Reali Costa
2016	A*	`conf`	Transfer Learning for Multiagent Reinforcement Learning Systems. IJCAI Felipe Leno da Silva, Anna Helena Reali Costa
2015	J	`jnl`	Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Comput. Electron. Agric. Felipe Leno da Silva, Marina Lopes Grassi Sella, Tiago Mauricio Francoy, Anna Helena Reali Costa
2014	J	`jnl`	A reference process for automating bee species identification based on wing images and digital image processing. Ecol. Informatics Fabiana Soares Santana, Anna Helena Reali Costa, Flavio Sales Truzzi, Felipe Leno da Silva, Sheila L. Santos, Tiago Mauricio Francoy, Antonio Mauro Saraiva