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Learning Disagreement Regions with Deep Neural Networks to Reduce Practical Complexity of Mixed-Integer MPC.

Ankush ChakrabartyRien QuirynenDiego RomeresStefano Di Cairano
Published in: SMC (2021)
Keyphrases
  • neural network
  • mixed integer
  • active learning
  • computational complexity
  • learning algorithm
  • supervised learning
  • training data
  • reinforcement learning
  • input image
  • tabu search
  • random variables
  • feasible solution