Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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… 
2014
2014
UAVGuidance Algorithms via Partially Observable Markov Decision Processes
The goal here is to design a path-planning algorithm to guide unmanned aerial vehicles (UAVs) for tracking multiple ground… 
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… 
2009
2009
Misplaced item search in a warehouse using an RFID-based Partially Observable Markov Decision Process (POMDP) model
Inventory misplacement and inaccuracies contribute significantly to the operational expense of the overall supply chain. Radio… 
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… 
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… 
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… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)