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CSL
2010
Springer
13 years 7 months ago
Evaluation of a hierarchical reinforcement learning spoken dialogue system
We describe an evaluation of spoken dialogue strategies designed using hierarchical reinforcement learning agents. The dialogue strategies were learnt in a simulated environment a...
Heriberto Cuayáhuitl, Steve Renals, Oliver ...
TPDS
2008
96views more  TPDS 2008»
13 years 7 months ago
Stochastic Graph Processes for Performance Evaluation of Content Delivery Applications in Overlay Networks
This paper proposes a new methodology to model the distribution of finite size content to a group of users connected through an overlay network. Our methodology describes the distr...
Damiano Carra, Renato Lo Cigno, Ernst W. Biersack
SIGMETRICS
2002
ACM
107views Hardware» more  SIGMETRICS 2002»
13 years 7 months ago
Passage time distributions in large Markov chains
Probability distributions of response times are important in the design and analysis of transaction processing systems and computercommunication systems. We present a general tech...
Peter G. Harrison, William J. Knottenbelt
NAACL
2010
13 years 5 months ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
ICML
2007
IEEE
14 years 8 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan