70 search results - page 13 / 14 » Optimal Route Planning under Uncertainty |
132
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ECAI
2010
Springer
15 years 5 months ago
2010
Springer
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
162
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AAAI
2012
13 years 6 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
139
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ATAL
2009
Springer
15 years 11 months ago
2009
Springer
Coordination of multiple agents under uncertainty in the decentralized POMDP model is known to be NEXP-complete, even when the agents have a joint set of goals. Nevertheless, we s...
155
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TON
2010
15 years 2 months ago
2010
—In this paper, we investigate the maximization of the coverage time for a clustered wireless sensor network (WSN) by optimal balancing of power consumption among cluster heads (...
159
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CIMCA
2008
IEEE
15 years 11 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...