371 search results - page 11 / 75 » The Complexity of Decentralized Control of Markov Decision P... |
AAAI
2007
14 years 11 months ago
2007
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
JAIR
2000
14 years 9 months ago
2000
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
86
Voted
UAI
1998
14 years 10 months ago
1998
Recent research in decision theoretic planning has focussedon making the solution of Markov decision processes (MDPs) more feasible. We develop a family of algorithms for structur...
AIPS
2008
14 years 11 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
14 years 8 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...