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February 1, 1988Journal of the Operational Research Society

Note on “A Partially Observable Markov Decision Process with Lagged Information”

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Clarify and refine mathematical formulations for partially observable Markov decision processes operating with delayed observational feedback.
Theoretical and mathematical analysis of dynamic decision-making under delayed information structures.
Reformulation of belief state transitions to incorporate lagged observation channels.
Provides formal clarifications on the state space and decision policies in delayed-observation Markov models.
Demonstrates theoretical consistency in finding optimal policies when system measurements are received with a fixed time lag.

Implication

Theoretical note examines sequential decision models under delayed feedback, highlighting optimal policies for partially observable stochastic systems.

Abstract

"Note on “A Partially Observable Markov Decision Process with Lagged Information”." Journal of the Operational Research Society, 39(2), p. 217

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Cite This Study

Chelsea C. White (1988) studied this question.

synapsesocial.com/papers/6a0edf9053f874f2b222e1ee https://doi.org/10.1057/jors.1988.36

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Implication

Theoretical note examines sequential decision models under delayed feedback, highlighting optimal policies for partially observable stochastic systems.

Abstract

"Note on “A Partially Observable Markov Decision Process with Lagged Information”." Journal of the Operational Research Society, 39(2), p. 217

Note on “A Partially Observable Markov Decision Process with Lagged Information”

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Implication

Abstract

Discussion

Cite This Study

Note on “A Partially Observable Markov Decision Process with Lagged Information”

Key Points

Implication

Abstract

Discussion

Cite This Study

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