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20062020
most citedDeep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment

41 citations

Showing 2020Show all

9 papers · 1 filter

cs.NI2020

The Greatest Teacher, Failure is: Using Reinforcement Learning for SFC Placement Based on Availability and Energy Consumption

Guto Leoni Santos, Theo Lynn, Judith Kelner +1

Software defined networking (SDN) and network functions virtualisation (NFV) are making networks programmable and consequently much more flexible and agile. To meet service level a…

cs.RO202027 cited

Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition

Ruben Contreras, Angel Ayala, Francisco Cruz

Currently, unmanned aerial vehicles, such as drones, are becoming a part of our lives and reaching out to many areas of society, including the industrialized world. A common altern…

cs.AI2020

Analysis of Social Robotic Navigation approaches: CNN Encoder and Incremental Learning as an alternative to Deep Reinforcement Learning

Janderson Ferreira, Agostinho A. F. Júnior, Letícia Castro +3

Dealing with social tasks in robotic scenarios is difficult, as having humans in the learning loop is incompatible with most of the state-of-the-art machine learning algorithms. Th…

cs.AI202041 cited

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment

Ithan Moreira, Javier Rivas, Francisco Cruz +3

Robots are extending their presence in domestic environments every day, being more common to see them carrying out tasks in home scenarios. In the future, robots are expected to in…

cs.CV2020

Performance Improvement of Path Planning algorithms with Deep Learning Encoder Model

Janderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão +3

Currently, path planning algorithms are used in many daily tasks. They are relevant to find the best route in traffic and make autonomous robots able to navigate. The use of path p…

cs.SE202012 cited

Ensemble Regression Models for Software Development Effort Estimation: A Comparative Study

Halcyon D. P. Carvalho, Marília N. C. A. Lima, Wylliams B. Santos +1

As demand for computer software continually increases, software scope and complexity become higher than ever. The software industry is in real need of accurate estimates of the pro…