133 search results - page 16 / 27 » Decision making under uncertainty using imprecise probabilit... |
IJCAI
2007
14 years 11 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...
UAI
2001
14 years 10 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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ASC
2007
15 years 8 months ago
2007
Credit risk has always been an important issue for banks
and other financial intermediaries. A reliable and consistent
computing system is necessary to simplify the decision
mak...
100
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IAT
2010
IEEE
14 years 7 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...
CIMCA
2008
IEEE
15 years 3 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...