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A Class of Solvable Markov Decision Models with Incomplete Information

  • Published:2021-12-14 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 60th IEEE Conference on Decision and Control (CDC)
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Author:

Feinberg Eugene A.1,Kasyanov Pavlo O.2,Zgurovsky Michael Z.3

Affiliation:

1. Stony Brook University,Department of Applied Mathematics and Statistics,Stony Brook,NY,USA,11794-3600

2. National Technical University of Ukraine "Kyiv Polytechnic Institute",Institute for Applied System Analysis,Kyiv,Ukraine,03056

3. National Technical University of Ukraine "Kyiv Polytechnic Institute",Kyiv,Ukraine,03056

Publisher

IEEE

Reference25 articles.

1. Convergence of probability measures and Markov decision models with incomplete information;feinberg;Proceedings of the Steklov Institute of Mathematics,2014

2. Partially Observable Total-Cost Markov Decision Processes with Weakly Continuous Transition Probabilities

3. Uniform Fatou's lemma

4. Semi-Uniform Feller Stochastic Kernels;feinberg,2021

5. Markov decision processes with incomplete information and semi-uniform Feller transition probabilities;feinberg,2021

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