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ACL
2010
13 years 7 months ago
Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
Srinivasan Janarthanam, Oliver Lemon
ATAL
2009
Springer
14 years 4 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
PKDD
2009
Springer
169views Data Mining» more  PKDD 2009»
14 years 4 months ago
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
ICC
2007
IEEE
14 years 4 months ago
Dynamic Lightpath Establishment for Service Differentiation Based on Optimal MDP Policy in All-Optical Networks with Wavelength
— In this paper, we propose a dynamic lightpath establishment method for service differentiation in all-optical WDM networks with the capability of full-range wavelength conversi...
Takuji Tachibana, Shoji Kasahara, Kenji Sugimoto
DSOM
2005
Springer
14 years 3 months ago
Design and Implementation of Performance Policies for SMS Systems
We present a design for policy-based performance management of SMS Systems. The design takes as input the operator’s performance goals, which are expressed as policies that can b...
Alberto Gonzalez Prieto, Rolf Stadler