281 search results - page 30 / 57 » Planning with Partial Preference Models |
IJRR
2011
13 years 3 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...
AAAI
2000
13 years 9 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...
ISMAR
2009
IEEE
14 years 3 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...
ATAL
2007
Springer
14 years 2 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...
AAAI
2012
11 years 11 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...