771 search results - page 41 / 155 » Markov Decision Processes with Arbitrary Reward Processes |
111
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AIPS
2008
15 years 4 months ago
2008
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...
137
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NN
2010
Springer
14 years 8 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
131
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CORR
2008
Springer
15 years 1 months ago
2008
Springer
Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensor...
139
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AAAI
2006
15 years 3 months ago
2006
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
109
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....