153 search results - page 1 / 31 » Incremental Methods for Computing Bounds in Partially Observ... |
AAAI
1997
13 years 6 months ago
1997
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
DSN
2006
IEEE
13 years 10 months ago
2006
IEEE
This paper provides a technique, based on partially observable Markov decision processes (POMDPs), for building automatic recovery controllers to guide distributed system recovery...
AIPS
2008
13 years 7 months ago
2008
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
MFCS
2010
Springer
13 years 3 months ago
2010
Springer
We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with parity objectives. An observationbased strategy relies on partial information...