262 search results - page 13 / 53 » Bounded-Parameter Partially Observable Markov Decision Proce... |
ICRA
2007
IEEE
14 years 4 months ago
2007
IEEE
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
WSDM
2010
ACM
14 years 7 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
AIPS
2003
13 years 11 months ago
2003
We develop a hierarchical approach to planning for partially observable Markov decision processes (POMDPs) in which a policy is represented as a hierarchical finite-state control...
DATE
2008
IEEE
14 years 4 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...