231 search results - page 39 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
159
Voted
SOCO
2010
Springer
14 years 10 months ago
2010
Springer
Decentralized partially observable Markov decision process (DEC-POMDP) is an approach to model multi-robot decision making problems under uncertainty. Since it is NEXP-complete the...
155
Voted
AMAI
2004
Springer
15 years 9 months ago
2004
Springer
This paper extends the framework of partially observable Markov decision processes (POMDPs) to multi-agent settings by incorporating the notion of agent models into the state spac...
113
Voted
DATE
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper tackles the problem of dynamic power management (DPM) in nanoscale CMOS design technologies that are typically affected by increasing levels of process, voltage, and te...
156
Voted
HICSS
2003
IEEE
15 years 9 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...
124
Voted
ATAL
2005
Springer
15 years 9 months ago
2005
Springer
A survivable agent system depends on the incorporation of many recovery features. However, the optimal use of these features requires the ability to assess the actual state of the...