133 search results - page 21 / 27 » Sequential Decision Making Under Uncertainty |
114
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AAAI
2012
13 years 2 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...
117
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IAT
2010
IEEE
14 years 9 months ago
2010
IEEE
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
AAAI
2008
15 years 2 months ago
2008
In this paper, we combine for the first time the methods of dynamic mechanism design with techniques from decentralized decision making under uncertainty. Consider a multi-agent s...
120
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IAT
2007
IEEE
15 years 6 months ago
2007
IEEE
Visual Analytics is the science of applying reasoning and analysis techniques to large, complex real-world data for problem solving using visualizations. Real world knowledge gath...
111
Voted
SOCO
2010
Springer
14 years 6 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...