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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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Related topics

Related topics

18 relations
Artificial intelligenceAutomated planning and schedulingBellman equationComputational complexity theory

Broader (2)

Dynamic programmingStochastic control

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Session search modeling by partially observable Markov decision process
Session search, the task of document retrieval for a series of queries in a session, has been receiving increasing attention from… 
2009
2009
Voice activity detection using partially observable Markov decision process
Partially observable Markov decision process (POMDP) has been generally used to model agent decision processes such as dialogue… 
2008
2008
Automated Upper Extremity Rehabilitation for Stroke Patients Using a Partially Observable Markov Decision Process
This paper presents a real-time system that guides stroke patients during upper extremity rehabilitation. The system… 
2007
2007
Mixed Reinforcement Learning for Partially Observable Markov Decision Process
Reinforcement learning has been widely used to solve problems with a little feedback from environment. Q learning can solve full… 
2006
2006
Region-based value iteration for partially observable Markov decision processes
An approximate region-based value iteration (RBVI) algorithm is proposed to find the optimal policy for a partially observable… 
2004
2004
Reinforcement learning algorithm for partially observable Markov decision processes
  • 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
Learning hierarchical observable Markov decision process models for robot navigation
We propose and investigate a general framework for hierarchical modeling of partially observable environments, such as office… 
1998
1998
Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method
There is much interest in using partially observable Markov decision processes (POMDPs) as a formal model for planning in… 
Highly Cited
1994
Highly Cited
1994
Optimal Policies for Partially Observable Markov Decision Processes
The main objective of this report is to provide implementation details for the more popular exact algorithms for solving finite… 
Review
1988
Review
1988
On the adaptive control of a partially observable Markov decision process
The study represents the initial stages of a program to address the adaptive control of partially observable Markov decision… 
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