59 citations · 386 across the 14 of their papers we have counts for
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cs.LG2023★ 49 cited
A study on a Q-Learning algorithm application to a manufacturing assembly problem
Miguel Neves, Miguel Vieira, Pedro Neto
The development of machine learning algorithms has been gathering relevance to address the increasing modelling complexity of manufacturing decision-making problems. Reinforcement…
cs.LG2023★ 17 cited
Improving novelty detection with generative adversarial networks on hand gesture data
Miguel Simão, Pedro Neto, Olivier Gibaru
We propose a novel way of solving the issue of classification of out-of-vocabulary gestures using Artificial Neural Networks (ANNs) trained in the Generative Adversarial Network (G…
cs.LG2023★ 30 cited
Deep reinforcement learning applied to an assembly sequence planning problem with user preferences
Miguel Neves, Pedro Neto
Deep reinforcement learning (DRL) has demonstrated its potential in solving complex manufacturing decision-making problems, especially in a context where the system learns over tim…