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ATAL
2009
Springer
15 years 5 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...
ARC
2010
Springer
189views Hardware» more  ARC 2010»
15 years 1 months ago
3D Compaction: A Novel Blocking-Aware Algorithm for Online Hardware Task Scheduling and Placement on 2D Partially Reconfigurable
Abstract. Few of the benefits of exploiting partially reconfigurable devices are power consumption reduction, cost reduction, and customized performance improvement. To obtain thes...
Thomas Marconi, Yi Lu 0004, Koen Bertels, Georgi G...
88
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EMNLP
2008
15 years 15 days ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
NN
2000
Springer
137views Neural Networks» more  NN 2000»
14 years 11 months ago
Evolutionary robots with on-line self-organization and behavioral fitness
We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to enco...
Dario Floreano, Joseba Urzelai
ICDIM
2010
IEEE
14 years 9 months ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong