Ruben Glatt | Semantic Scholar

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Simultaneously Learning and Advising in Multiagent Reinforcement Learning

Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
AAMAS
2017

Reinforcement Learning has long been employed to solve sequential decision-making problems with minimal input data. However, the classical approach requires a large number of interactions with an… (More)

Towards Knowledge Transfer in Deep Reinforcement Learning

Ruben Glatt, Felipe Leno da Silva, Anna Helena Reali Costa
5th Brazilian Conference on Intelligent Systems…
2016

Driven by recent developments in the area of Artificial Intelligence research, a promising new technology for building intelligent agents has evolved. The technology is termed Deep Reinforcement… (More)

MOO-MDP: An Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning

Felipe Leno Da Silva, Ruben Glatt, Anna Helena Reali Costa
IEEE Transactions on Cybernetics
2019

Reinforcement learning (RL) is a widely known technique to enable autonomous learning. Even though RL methods achieved successes in increasingly large and complex problems, scaling solutions remains… (More)

Object-Oriented Reinforcement Learning in Cooperative Multiagent Domains

Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa
5th Brazilian Conference on Intelligent Systems…
2016

Although Reinforcement Learning methods have successfully been applied to increasingly large problems, scalability remains a central issue. While Object-Oriented Markov Decision Processes (OO-MDP)… (More)

Policy Reuse in Deep Reinforcement Learning

Driven by recent developments in Artificial Intelligence research, a promising new technology for building intelligent agents has evolved. The approach is termed Deep Reinforcement Learning and… (More)

Deep learning architecture for gesture recognition

Ruben Glatt
2014

Knowledge reuse for deep reinforcement learning.

Ruben Glatt
2019

With the rise of Deep Learning the field of Artificial Intelligence (AI) Research has entered a new era. Together with an increasing amount of data and vastly improved computing capabilities, Machine… (More)

A Framework to Discover and Reuse Object-Oriented Options in Reinforcement Learning

Rodrigo Cesar Bonini, Felipe Leno da Silva, Ruben Glatt, Edison Spina, Anna Helena Reali Costa
7th Brazilian Conference on Intelligent Systems…
2018

Reinforcement Learning is a successful yet slow technique to train autonomous agents. Option-based solutions can be used to accelerate learning and to transfer learned behaviors across tasks by… (More)

Improving Deep Reinforcement Learning with Knowledge Transfer

Recent successes in applying Deep Learning techniques on Reinforcement Learning algorithms have led to a wave of breakthrough developments in agent theory and established the field of Deep… (More)

Thermographic inspection using a microcontroller-based camera positioning system

Daniel J. B. S. Sampaio, Victor G. S. Sousa, Ruben Glatt, Daniel Rubbo, Alan F. Costa
Proceedings of the 3rd International Conference…
2014

Infrared thermal cameras can be used to detect early-stage thermal anomalies in electrical or mechanical equipment and structures, before they lead to the interruption of their operation. In this… (More)