Construct · 1 fields · 1 citations

partially observable Markov decision process: a standalone construct

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partially observableMarkov decision process1 CONSTRUCTPartially observableKAELBLING · MACHINE LEARNING

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Machine learning

a decision model in which an agent cannot see the state directly and acts on a belief distribution updated from observations.

In machine learning, partially observable Markov decision process refers to a decision model in which an agent cannot see the state directly and acts on a belief distribution updated from observations. This meaning comes from Kaelbling (1998) in Artificial Intelligence.[1]

Unit
Recovery means
Measured by

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agent3 fields · 5 citationsjingle · one word, three constructsbelief4 fields · 4 citationsjingle · one word, four constructsdistribution2 fields · 2 citationsjingle · one word, two constructs

References

  1. Kaelbling, L. P., Littman, M. L., & Cassandra, A. R. (1998). Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101(1-2), 99-134. https://doi.org/10.1016/s0004-3702(98)00023-x

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