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JMLR
2010
125views more  JMLR 2010»
14 years 9 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
GECCO
2009
Springer
137views Optimization» more  GECCO 2009»
15 years 6 months ago
Efficient natural evolution strategies
Efficient Natural Evolution Strategies (eNES) is a novel alternative to conventional evolutionary algorithms, using the natural gradient to adapt the mutation distribution. Unlike...
Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Sch...
ICANNGA
2007
Springer
133views Algorithms» more  ICANNGA 2007»
15 years 9 months ago
Finding the Optimal Path in 3D Spaces Using EDAs - The Wireless Sensor Networks Scenario
Abstract. In wireless sensor networks where sensors are geographically deployed in 3D spaces, a mobile robot is required to travel to each sensor in order to download the data. The...
Bo Yuan, Maria E. Orlowska, Shazia Wasim Sadiq
GRID
2004
Springer
15 years 8 months ago
Design and Analysis of a Dynamic Scheduling Strategy with Resource Estimation for Large-Scale Grid Systems
In this paper, we present a resource conscious dynamic scheduling strategy for handling large volume computationally intensive loads in a Grid system involving multiple sources an...
Sivakumar Viswanathan, Bharadwaj Veeravalli, Danto...
CVPR
1999
IEEE
16 years 5 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann