92 search results - page 14 / 19 » Acting Optimally in Partially Observable Stochastic Domains |
75
Voted
KR
1989
Springer
15 years 1 months ago
1989
Springer
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
HICSS
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
103
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AIIDE
2009
14 years 7 months ago
2009
This paper proposes an Integrated MDP and POMDP Learning AgeNT (IMPLANT) architecture for adaptation in modern games. The modern game world basically involves a human player actin...
72
Voted
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
113
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Publication
![Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems - [ Mumford-Shah ]](https://www.sciweavers.org/files/imagecache/thumbnail/imagecache/mumphord_shah.jpg "Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems - [ Mumford-Shah ]")
"The purpose of this paper is to introduce and study the most basic properties of three new variational problems which are suggested by applications to computer vision. In com...