Abmarl: Connecting Agent-Based Simulations with Multi-Agent Reinforcement Learning , E. Rusu, & R. Glatt. In Journal of Open Source Software 6(64), 3424.

Published on: August 23, 2021

DECAF: Deep Case-based Policy Inference for Knowledge Transfer in Reinforcement Learning , R. Glatt, F. L. d. Silva, R. A. d. C. Bianchi & A. H. R. Costa. In Expert Systems with Applications 156 (2020): 113420.

Published on: March 31, 2020

MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning , F. L. d. Silva, R. Glatt & A. H. R. Costa. In IEEE Transactions on Cybernetics.

Published on: January 15, 2019

Proposal for a Deep Learning Architecture for Activity Recognition , R. Glatt, J. C. Freire Jr., & D. J. B. S. Sampaio. In International Journal of Engineering & Technology (IJET-IJENS), Vol. 14, No. 05, ISSN: 2077-1185, p. 24-28.

Published on: October 01, 2014

Symbolic Regression via Neural-Guided Genetic Programming Population Seeding , T. Mundhenk, M. Landajuela, R. Glatt, C. P. Santiago, B. K. Petersen. In Advances in Neural Information Processing Systems (NeurIPS), 2021.

Published on: December 6, 2021

Collaborative energy demand response with decentralized actor and centralized critic , R. Glatt, F. L. d. Silva, B. C. Soper, W. A. Dawson, E. Rusu, & R. A. Goldhahn. In International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys ’21), 2021.

Published on: November 16, 2021

Discovering symbolic policies with deep reinforcement learning , M. Landajuela, B. K. Petersen, S. Kim, C. P. Santiago, R. Glatt, N. Mundhenk, J. F. Pettit, D. Faissol. In 16th nternational Conference on Machine Learning (ICML), 2021.

Published on: July 1, 2021

A Framework to Discover and Reuse Object Oriented Options in Reinforcement Learning , R. C. Bonini, F. L. d. Silva, R. Glatt, E. Spina, & A. H. R. Costa. In 2018 Brazilian Conference on Intelligent Systems (BRACIS), IEEE, Brazil.

Published on: October 22, 2018

Simultaneously Learning and Advising in Multiagent Reinforcement Learning , F. L. d. Silva, R. Glatt & A. H. R. Costa. In 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017, Sao Paulo, Brazil.

Published on: May 11, 2017

Towards Knowledge Transfer in Deep Reinforcement Learning , R. Glatt, F. L. d. Silva & A. H. R. Costa. In 2016 Brazilian Conference on Intelligent Systems (BRACIS), IEEE, Recife, Brazil.

Published on: Oct 09, 2016

Object-Oriented Reinforcement Learning in Cooperative Multiagent Domains , F. L. d. Silva, R. Glatt & A. H. R. Costa. In 2016 Brazilian Conference on Intelligent Systems (BRACIS), IEEE, Recife, Brazil.

Published on: Oct 09, 2016

Thermographic Inspection using a Microcontroller-based Camera Positioning System , D. J. B. S. Sampaio, V. G. S. Sousa, R. Glatt, D. Rubbo, & A. F. Costa. In 3rd International Conference on Applied Robotics for the Power Industry (CARPI), Foz do Iguaçu, Brazil.

Published on: Oct 01, 2014

Intelligent Remote System for Automatic Thermographic Inspection , D. J. B. S. Sampaio, V. G. S. Sousa, R. Glatt, D. Rubbo, A. F. Costa, & P. M. Sobrinho. In 10th Latin-American Congress on Electricity and Transmission (CLAGTEE), Viña del Mar, Chile.

Published on: Oct 01, 2013

Deep Symbolic Optimization for Electric Component Sizing in Fixed Topology Power Converters , R. Glatt, F. L. d. Silva, V. H. Bui, C. Huang, L. Xue, M. Wang, F. Chang, Y. Murphey, W. Su. In Workshop on AI for Design and Manufacturing (ADAM), AAAI, 2022.

Published on: February 28, 2022

An Intelligent System for Automatic Selection of DC-DC Converter Topology with Optimal Design , S. Wang, Y. Murphey, W. Su, M. Wang, V. H. Bui, F. Chang, C. Huang, L. Xue, F. L. d. Silva, & R. Glatt. In Workshop on AI for Design and Manufacturing (ADAM), AAAI, 2022.

Published on: February 28, 2022

Improving exploration in policy gradient search: Application to symbolic optimization , M. L. Larma, B. K. Petersen, S. Kim, C. P. Santiago, R. Glatt, N. Mundhenk, J. F. Pettit, & D. M. Faissol. In 1st Mathematical Reasoning in General Artificial Intelligence Workshop, ICLR, 2021.

Published on: July 19, 2021

GAN-based Data Mapping for Model Adaptation , F. L. d. Silva, R. Glatt, R. Cobe, & R. Vicente. . In LatinX in AI Workshop (ICML), 2021.

Published on: July 19, 2021

Hybrid Information-driven Multi-agent Reinforcement Learning , W. A. Dawson, R. Glatt, E. Rusu, B. C. Soper & R. A. Goldhahn. In Workshop on Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL AAAI 2021), 2021, Stanford, USA.

Published on: March 24, 2021

Increasing Performance of Electric Vehicles in Ride-hailing Services Using Deep Reinforcement Learning , J. F. Pettit, R. Glatt, J. R. Donadee & Brenden K. Petersen. In Workshop on Tackling Climate Change with Machine Learning @ 33rd NeurIPS, 2019, Vancouver, Canada.

Published on: December 14, 2019

Case-based Policy Inference for Transfer in Reinforcement Learning , R. Glatt, F. L. d. Silva & A. H. R. Costa. In Workshop on Scaling-Up Reinforcement Learning at the 28th European Conference on Machine Learning (ECML), 2017, Skopje, Mazedonia.

Published on: September 24, 2017

Simultaneously Learning and Advising in Multiagent Reinforcement Learning , F. L. d. Silva, R. Glatt & A. H. R. Costa. In 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017, Sao Paulo, Brazil.

Published on: May 11, 2017

Case-based Policy Inference (Short Paper) , R. Glatt, F. L. d. Silva & A. H. R. Costa. In Workshop on Transfer in Reinforcement Learning at the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017, Sao Paulo, Brazil.

Published on: May 9, 2017

Transferring Probabilistic Options in Reinforcement Learning (Short Paper) , R. C. Bonini, F. L. d. Silva, R. Glatt & A. H. R. Costa. In Workshop on Transfer in Reinforcement Learning at the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017, Sao Paulo, Brazil.

Published on: May 9, 2017

Manutenção Preditiva com Inspeção Termográfica Inteligente , D. J. B. S. Sampaio, V. G. S. Sousa, R. Glatt, D. Rubbo, and A. F. Costa. In V Simpósio Brasilero de Sistemas Eléctricos (SBSE), Foz do Iguaçu, Brazil.

Published on: Apr 01, 2014

Knowledge Reuse for Deep Reinforcement Learning , R. Glatt. Doctoral Thesis at Escola Politécnica da Universidade de São Paulo (USP), 2019, São Paulo, Brazil.

Defended on: June 12, 2019

Deep learning architecture for gesture recognition , R. Glatt. Master Thesis at Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), 2014, Guaratinguetá, Brazil.

Defended on: July 25, 2014

Geschäfts- und Reifegradmodelle im Kontext technischer Dienstleistungen , R. Glatt. Diplomarbeit at Karlsruher Institut für Technologie (KIT), 2011, Karlsruhe, Germany.

Defended on: October 10, 2011

Scaling-Up Reinforcement Learning (Book Chapter) , R. Glatt, F. L. d. Silva, D. Steckelmacher & P. MacAlpine. In Artificial Intelligence - IJCAI 2019 International Workshops, 2019, Macao, China.

Published on: April 1, 2020

Enabling Optimized Charging of Electric Vehicles in Mobility Services (Technical Report) , R. Glatt. In U.S. Department of Energy Office of Scientific and Technical Information (DOE OSTI), 2019, Livermore, USA.

Published on: December 26, 2019

Improving Deep Reinforcement Learning with knowledge transfer (Doctoral Consortium Extended Abstract) , R. Glatt & A. H. R. Costa. In 31st AAAI Conference on Artificial Intelligence (AAAI), 2017, San Francisco, USA.

Published on: February 12, 2017

Policy Reuse in Deep Reinforcement Learning (Student Abstract) , R. Glatt & A. H. R. Costa. In 31st AAAI Conference on Artificial Intelligence (AAAI), 2017, San Francisco, USA.

Published on: February 12, 2017

An advising framework for Multiagent Reinforcement Learning systems (Student abstract) , F. L. d. Silva, R. Glatt & A. H. R. Costa. In 31st AAAI Conference on Artificial Intelligence (AAAI), 2017, San Francisco, USA.

Published on: February 12, 2017

Manutenção Preditiva com Inspeção Termográfica Inteligente , D. J. B. S. Sampaio, V. G. S. Sousa, D. Rubbo, A. F. Costa, & R. Glatt. In O Setor Eléctrico, p. 102 - 111.

Published on: Aug 01, 2015