49 citations · 80 across the 4 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★ 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…