133 search results - page 17 / 27 » Sequential Decision Making Under Uncertainty |
126
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AAAI
2010
15 years 3 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
163
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SIGECOM
2011
ACM
14 years 4 months ago
2011
ACM
In many settings, a group of agents must come to a joint decision on multiple issues. In practice, this is often done by voting on the issues in sequence. In this paper, we model ...
95
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UAI
2001
15 years 3 months ago
2001
In previous work [8] we presented a casebased approach to eliciting and reasoning with preferences. A key issue in this approach is the definition of similarity between user prefe...
143
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AAAI
2011
14 years 1 months ago
2011
Consider the problem of protecting endangered species by selecting patches of land to be used for conservation purposes. Typically, the availability of patches changes over time, ...
116
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IJCAI
2007
15 years 3 months ago
2007
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...