43 citations · 92 across the 13 of their papers we have counts for
7 papers · 1 filter
rSoccer: A Framework for Studying Reinforcement Learning in Small and Very Small Size Robot Soccer
Felipe B. Martins, Mateus G. Machado, Hansenclever F. Bassani +2
Reinforcement learning is an active research area with a vast number of applications in robotics, and the RoboCup competition is an interesting environment for studying and evaluat…
Deep Categorization with Semi-Supervised Self-Organizing Maps
Pedro H. M. Braga, Heitor R. Medeiros, Hansenclever F. Bassani
Nowadays, with the advance of technology, there is an increasing amount of unstructured data being generated every day. However, it is a painful job to label and organize it. Label…
Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
Hansenclever F. Bassani, Renie A. Delgado, Jose Nilton de O. Lima Junior +3
This work presents an application of Reinforcement Learning (RL) for the complete control of real soccer robots of the IEEE Very Small Size Soccer (VSSS), a traditional league in t…
Self-Organizing Maps with Variable Input Length for Motif Discovery and Word Segmentation
Raphael C. Brito, Hansenclever F. Bassani
Time Series Motif Discovery (TSMD) is defined as searching for patterns that are previously unknown and appear with a given frequency in time series. Another problem strongly relat…
A Semi-Supervised Self-Organizing Map with Adaptive Local Thresholds
Pedro H. M. Braga, Hansenclever F. Bassani
In the recent years, there is a growing interest in semi-supervised learning, since, in many learning tasks, there is a plentiful supply of unlabeled data, but insufficient labeled…
A Semi-Supervised Self-Organizing Map for Clustering and Classification
Pedro H. M. Braga, Hansenclever F. Bassani
There has been an increasing interest in semi-supervised learning in the recent years because of the great number of datasets with a large number of unlabeled data but only a few l…
A Neural Network Architecture for Learning Word-Referent Associations in Multiple Contexts
Hansenclever F. Bassani, Aluizio F. R. Araujo
This article proposes a biologically inspired neurocomputational architecture which learns associations between words and referents in different contexts, considering evidence coll…