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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 1 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
AAAI
2007
13 years 9 months ago
Best-First AND/OR Search for Graphical Models
The paper presents and evaluates the power of best-first search over AND/OR search spaces in graphical models. The main virtue of the AND/OR representation is its sensitivity to ...
Radu Marinescu 0002, Rina Dechter
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
14 years 1 months ago
Robot Communication Principal by Motion Synchronization using Orbit Attractor
Abstract— The human communication exists in various situations of our daily life. For human – robot communication or robot – robot communication, it is useful to design a com...
Masafumi Okada, Kenji Murakami
AUTOMATICA
2006
77views more  AUTOMATICA 2006»
13 years 7 months ago
Brand image and brand dilution in the fashion industry
We develop a dynamic optimal control model of a fashion designer's challenge of maintaining brand image in the face of short-term pro...t opportunities through expanded sales...
Peter M. Kort, Jonathan P. Caulkins, Richard F. Ha...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace