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An approximate dynamic programming framework for modeling global climate policy under decision-dependent uncertainty.

Mort WebsterNidhi SantenPanos Parpas
Published in: Comput. Manag. Sci. (2012)
Keyphrases
  • approximate dynamic programming
  • state space
  • decision makers
  • optimal policy
  • machine learning
  • decision making
  • reinforcement learning
  • wavelet transform
  • markov decision processes
  • linear program
  • policy iteration