Markov decision processes with fuzzy rewards

@inproceedings{Kurano2003MarkovDP,
  title={Markov decision processes with fuzzy rewards},
  author={Masami Kurano and Masami Yasuda and Jun-ichi Nakagami and Yuji Yoshida},
  year={2003}
}
In this paper, we consider the model that the information on the rewards in vector-valued Markov decision processes includes imprecision or ambiguity. The fuzzy reward model is analyzed as follows: The fuzzy reward is represented by the fuzzy set on the multi-dimensional Euclidian space R and the infinite horizon fuzzy expected discounted reward(FEDR) from any stationary policy is characterized as a unique fixed point of the corresponding contractive operator. Also, we fined a Pareto optimal… CONTINUE READING
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