231 search results - page 34 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
HICSS
2003
IEEE
14 years 24 days 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...
CDC
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...
ACL
2008
13 years 9 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...
CSL
2010
Springer
13 years 7 months ago
2010
Springer
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...