133 search results - page 12 / 27 » Decision making under uncertainty using imprecise probabilit... |
IJCAI
2001
14 years 10 months ago
2001
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
ACL
2008
14 years 11 months ago
2008
In spoken dialogue systems, Partially Observable Markov Decision Processes (POMDPs) provide a formal framework for making dialogue management decisions under uncertainty, but effi...
SIGIR
2010
ACM
15 years 1 months ago
2010
ACM
This paper presents a new way of thinking for IR metric optimization. It is argued that the optimal ranking problem should be factorized into two distinct yet interrelated stages:...
COMMA
2008
14 years 11 months ago
2008
Abstract. This paper is concerned with the general problem of constructing decision tables and more specifically, with the identification of all possible outcomes of decisions. We ...
AAAI
1996
1996
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
14 years 10 months ago
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...