83 search results - page 1 / 17 » Building efficient partial plans using Markov decision proce... |
ICTAI
2000
IEEE
13 years 8 months ago
2000
IEEE
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
ICTAI
2005
IEEE
13 years 10 months ago
2005
IEEE
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
ARTMED
2000
13 years 4 months ago
2000
Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead, they are very often dependent and interleaved over time. This is mostly due to uncertainty...
ICTAI
1996
IEEE
13 years 9 months ago
1996
IEEE
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
ECML
2005
Springer
13 years 10 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...