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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 6 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
ICANN
2010
Springer
15 years 5 months ago
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
Mandy Grüttner, Frank Sehnke, Tom Schaul, J&u...
CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 5 months ago
Repairing People Trajectories Based on Point Clustering
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
Duc Phu Chau, François Brémond, Etie...
CORR
2010
Springer
127views Education» more  CORR 2010»
15 years 5 months ago
Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards
We consider the classical multi-armed bandit problem with Markovian rewards. When played an arm changes its state in a Markovian fashion while it remains frozen when not played. Th...
Cem Tekin, Mingyan Liu
AR
2006
95views more  AR 2006»
15 years 5 months ago
Adaptive body schema for robotic tool-use
The development and expression of many higher level cognitive functions, such as imitation, spatial perception, and tool-use relies on a multi-modal representation of the body kno...
Cota Nabeshima, Yasuo Kuniyoshi, Max Lungarella