Delayed Observation Planning in Partially Observable Domains

Delayed Observation Planning in Partially Observable Domains

Traditional models for planning under uncertainty such as Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs) assume that the observations about the results of agent actions are instantly available to the agent. In so doing, they are no longer applicable to domains where observati...

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Bibliographic Details
Main Authors: VARAKANTHAM, Pradeep Reddy, Marecki, Janusz
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Partially Observable Markov Decision Process
Delayed Observations
Artificial Intelligence and Robotics
Business
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/1606
https://ink.library.smu.edu.sg/context/sis_research/article/2605/type/native/viewcontent/citation.cfm_id_2343939
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/1606
https://ink.library.smu.edu.sg/context/sis_research/article/2605/type/native/viewcontent/citation.cfm_id_2343939

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