75 search results - page 6 / 15 » Decision Making with Partially Consonant Belief Functions |
112
Voted
AAAI
2006
15 years 3 months ago
2006
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
129
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CIMCA
2008
IEEE
15 years 8 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, ...
107
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SIGMOD
2005
ACM
15 years 7 months ago
2005
ACM
Decision makers of companies often face the dilemma of whether to release data for knowledge discovery, vis a vis the risk of disclosing proprietary or sensitive information. Whil...
109
Voted
ICTAI
2005
IEEE
15 years 7 months ago
2005
IEEE
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
95
Voted
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...