Felipe Leno da Silva

Orcid: 0000-0003-4703-2061

Affiliations:
  • University of São Paulo, Brazil


According to our database1, Felipe Leno da Silva authored at least 33 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Review on Simulation Platforms for Agent-Based Modeling in Electrified Transportation.
IEEE Trans. Intell. Transp. Syst., February, 2024

2023
Deep Reinforcement Learning-Based Optimal Parameter Design of Power Converters.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

2022
Special issue on adaptive and learning agents 2020.
Neural Comput. Appl., 2022

Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning.
IEEE Access, 2022

2021
Transfer Learning for Multiagent Reinforcement Learning Systems
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01591-5, 2021

Collaborative energy demand response with decentralized actor and centralized critic.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Designing a Hybrid AI Residency.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning.
IEEE Trans. Smart Grid, 2020

<i>DECAF</i>: Deep Case-based Policy Inference for knowledge transfer in Reinforcement Learning.
Expert Syst. Appl., 2020

Agents teaching agents: a survey on inter-agent transfer learning.
Auton. Agents Multi Agent Syst., 2020

Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning.
IEEE Trans. Cybern., 2019

A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems.
J. Artif. Intell. Res., 2019

Building Self-Play Curricula Online by Playing with Expert Agents in Adversarial Games.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Integrating Agent Advice and Previous Task Solutions in Multiagent Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues.
Image Vis. Comput., 2018

Autonomously Reusing Knowledge in Multiagent Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Framework to Discover and Reuse Object-Oriented Options in Reinforcement Learning.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Object-Oriented Curriculum Generation for Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Performance Evaluation of Cryptographic Algorithms over IoT Platforms and Operating Systems.
Secur. Commun. Networks, 2017

GeNICE: A Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis.
J. Comput. Biol., 2017

Simultaneously Learning and Advising in Multiagent Reinforcement Learning.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

An Advising Framework for Multiagent Reinforcement Learning Systems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Accelerating Multiagent Reinforcement Learning through Transfer Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Using Options to Accelerate Learning of New Tasks According to Human Preferences.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning Options in Multiobjective Reinforcement Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Transfer Learning for Multiagent Reinforcement Learning Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Framework for Scalable Inference of Temporal Gene Regulatory Networks based on Clustering and Multivariate Analysis.
Proceedings of the Workshop on Advances in Bioinformatics and Artificial Intelligence: Bridging the Gap co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016

Object-Oriented Reinforcement Learning in Cooperative Multiagent Domains.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Towards Knowledge Transfer in Deep Reinforcement Learning.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images.
Comput. Electron. Agric., 2015

2014
A reference process for automating bee species identification based on wing images and digital image processing.
Ecol. Informatics, 2014


  Loading...