| A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems FLD Silva, AHR Costa Journal of Artificial Intelligence Research (JAIR) 64, 645-703, 2019 | 325 | 2019 |
| Simultaneously Learning and Advising in Multiagent Reinforcement Learning FL Silva, R Glatt, AHR Costa 16th International Conference on Autonomous Agents and Multiagent Systems …, 2017 | 165 | 2017 |
| Coordination of Electric Vehicle Charging through Multiagent Reinforcement Learning FLD Silva, CEH Nishida, DM Roijers, AHR Costa IEEE Transactions on Smart Grid, 2019 | 132 | 2019 |
| Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents FLD Silva, P Hernandez-Leal, B Kartal, ME Taylor AAAI Conference on Artificial Intelligence, 2020 | 96 | 2020 |
| Agents Teaching Agents: A Survey on Inter-agent Transfer Learning FLD Silva, G Warnell, AHR Costa, P Stone Autonomous Agents and Multi-Agent Systems 34 (9), 2020 | 94 | 2020 |
| Object-Oriented Curriculum Generation for Reinforcement Learning FL Silva, AHR Costa 17th International Conference on Autonomous Agents and Multiagent Systems …, 2018 | 76 | 2018 |
| Performance Evaluation of Cryptographic Algorithms over IoT Platforms and Operating Systems GCCF Pereira, RCA Alves, FL Silva, RM Azevedo, BC Albertini, CB Margi Security and Communication Networks 2017, 16, 2017 | 76 | 2017 |
| Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images FL Silva, MLG Sella, TM Francoy, AHR Costa Computers and Electronics in Agriculture 114, 68-77, 2015 | 62 | 2015 |
| Autonomously Reusing Knowledge in Multiagent Reinforcement Learning FLD Silva, ME Taylor, AHR Costa 27th International Joint Conference on Artificial Intelligence (IJCAI), 5487 …, 2018 | 56 | 2018 |
| Towards Knowledge Transfer in Deep Reinforcement Learning R Glatt, FL Silva, AHR Costa 5th Brazilian Conference on Intelligent Systems (BRACIS), 91-96, 2016 | 56 | 2016 |
| A reference process for automating bee species identification based on wing images and digital image processing FS Santana, AHR Costa, FS Truzzi, FL Silva, SL Santos, TM Francoy, ... Ecological informatics 24, 248-260, 2014 | 54 | 2014 |
| MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning FLD Silva, R Glatt, AHR Costa IEEE Transactions on Cybernetics 49 (2), 567 - 579, 2019 | 41 | 2019 |
| Transfer Learning for Multiagent Reinforcement Learning Systems FL Silva, AHR Costa Morgan & Claypool Publishers, 2021 | 32* | 2021 |
| DECAF: Deep Case-based Policy Inference for Knowledge Transfer in Reinforcement Learning R Glatt, FL Silva, R Bianchi, AHR Costa Expert Systems with Applications, 2020 | 31 | 2020 |
| Towards Zero-Shot Autonomous Inter-Task Mapping through Object-Oriented Task Description FL Silva, AHR Costa 1st Workshop on Transfer in Reinforcement Learning (TiRL) at AAMAS, 2017 | 17 | 2017 |
| Accelerating Multiagent Reinforcement Learning through Transfer Learning FL Silva, AHR Costa AAAI Conference on Artificial Intelligence (AAAI-17), 5034-5035, 2017 | 15 | 2017 |
| Deep Symbolic Optimization for Electric Component Sizing in Fixed Topology Power Converters R Glatt, FL Silva, BUI VAN HAI, C Huang, L Xue, M Wang, F Chang, ... AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2022 | 12 | 2022 |
| Collaborative Energy Demand Response with Decentralized Actor and Centralized Critic R Glatt, FL Silva, B Soper, W Dawson, E Rusu, G R Workshop on Reinforcement Learning for Energy Management in Buildings …, 2021 | 12 | 2021 |
| Deep Neural Network-Based Surrogate Model for Optimal Component Sizing of Power Converters Using Deep Reinforcement Learning VH Bui, F Chang, W Su, M Wang, YL Murphey, FL Da Silva, C Huang, ... IEEE Access 10, 78702-78712, 2022 | 10 | 2022 |
| AbBERT: Learning Antibody Humanness via Masked Language Modeling D Vashchenko, S Nguyen, A Goncalves, FL da Silva, B Petersen, ... Workshop on Healthcare AI and COVID-19 @ ICML, 2022 | 8 | 2022 |
Anna Helena Reali CostaFull Professor of Computer Engineering, Universidade de São PauloVerified email at usp.br
