281 search results - page 30 / 57 » Planning with Partial Preference Models |
155
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IJRR
2011
14 years 10 months ago
2011
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
116
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AAAI
2000
15 years 4 months ago
2000
We propose a frameworkfor robot programming which allows the seamless integration of explicit agent programming with decision-theoretic planning. Specifically, the DTGolog model a...
164
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ISMAR
2009
IEEE
15 years 9 months ago
2009
IEEE
Generating 3D models of real world objects is a common task during development of any augmented reality application. This paper describes how ProFORMA (Probabilistic Feature-based...
127
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ATAL
2007
Springer
15 years 9 months ago
2007
Springer
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
110
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AAAI
2012
13 years 5 months ago
2012
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...