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Scenario co-evolution for reinforcement learning on a grid world smart factory domain.

Thomas GaborAndreas SedlmeierMarie KiermeierThomy PhanMarcel HenrichMonika PichlmairBernhard KempterCornel KleinHorst SauerReiner N. SchmidJan Wieghardt
Published in: GECCO (2019)
Keyphrases
  • reinforcement learning
  • domain independent
  • neural network
  • state space
  • function approximation
  • learning algorithm
  • domain specific
  • transfer learning
  • real time
  • real world
  • grid computing