262 search results - page 28 / 53 » Bounded-Parameter Partially Observable Markov Decision Proce... |
126
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AAAI
2000
15 years 5 months ago
2000
We propose a frameworkfor robot programming which allows the seamless integration of explicit agent programming with decision-theoretic planning. Specifically, the DTGolog model a...
128
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JAIR
2008
15 years 4 months ago
2008
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
133
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
A problem of planning for cooperative teams under uncertainty is a crucial one in multiagent systems. Decentralized partially observable Markov decision processes (DECPOMDPs) prov...
120
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HICSS
2003
IEEE
15 years 9 months ago
2003
IEEE
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
128
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CORR
2010
Springer
15 years 4 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....