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Linear programming-based solution methods for constrained partially observable Markov decision processes.

Robert K. HelmecziCan KavakliogluMucahit Cevik
Published in: Appl. Intell. (2023)
Keyphrases
  • linear programming
  • dynamic programming
  • finite state
  • reinforcement learning
  • significant improvement
  • optimal policy
  • optimal solution
  • linear program
  • partially observable markov decision processes