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Partially observable Markov decision process

Known as: POMDP, Partially observable Markov decision problem 
A partially observable Markov decision process (POMDP) is a generalization of a Markov decision process (MDP). A POMDP models an agent decision… 
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Papers overview

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2018
2018
Session search, the task of document retrieval for a series of queries in a session, has been receiving increasing attention from… 
2014
2014
The goal here is to design a path-planning algorithm to guide unmanned aerial vehicles (UAVs) for tracking multiple ground… 
2009
2009
Partially observable Markov decision process (POMDP) has been generally used to model agent decision processes such as dialogue… 
2009
2009
Inventory misplacement and inaccuracies contribute significantly to the operational expense of the overall supply chain. Radio… 
2008
2008
This paper presents a real-time system that guides stroke patients during upper extremity rehabilitation. The system… 
2007
2007
Reinforcement learning has been widely used to solve problems with a little feedback from environment. Q learning can solve full… 
2004
2004
  • Xu Xin
  • 2004
  • Corpus ID: 123943208
In partially observable markov decision processes(POMDP), due to perceptual aliasing, the memoryless policies obtained by Sarsa… 
2001
2001
We propose and investigate a general framework for hierarchical modeling of partially observable environments, such as office… 
Highly Cited
1994
Highly Cited
1994
The main objective of this report is to provide implementation details for the more popular exact algorithms for solving finite… 
Review
1988
Review
1988
The study represents the initial stages of a program to address the adaptive control of partially observable Markov decision…