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Uncertainty Quantification for Efficient and Risk-Sensitive Reinforcement Learning.

Mohamed-Harith IbrahimStéphane LecoeucheJacques BoonaertMireille Batton-Hubert
Published in: SSCI (2023)
Keyphrases
  • risk sensitive
  • reinforcement learning
  • optimal control
  • markov decision processes
  • state space
  • model free
  • utility function
  • function approximation
  • markov decision problems
  • linear programming
  • optimal policy