268 search results - page 34 / 54 » Solving multiagent assignment Markov decision processes |
184
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ICML
1995
IEEE
16 years 6 months ago
1995
IEEE
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
149
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ICTAI
2005
IEEE
15 years 11 months ago
2005
IEEE
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
162
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ECAI
1998
Springer
15 years 10 months ago
1998
Springer
Progressive processing allows a system to satisfy a set of requests under time pressure by limiting the amount of processing allocated to each task based on a predefined hierarchic...
140
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ATAL
2007
Springer
16 years 2 days ago
2007
Springer
In this paper, we discuss the use of Targeted Trajectory Distribution Markov Decision Processes (TTD-MDPs)—a variant of MDPs in which the goal is to realize a specified distrib...
175
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IAT
2005
IEEE
15 years 11 months ago
2005
IEEE
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...