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IWANN
1999
Springer
15 years 10 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
ICRA
2005
IEEE
117views Robotics» more  ICRA 2005»
16 years 1 days ago
CBUG: A Quadratically Competitive Mobile Robot Navigation Algorithm
Abstract This paper is concerned with the problem where a mobile robot of size D has to navigate to a target in an unknown planar environment. The competitiveness of an on-line nav...
Yoav Gabriely, Elon Rimon
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
15 years 11 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi
LION
2010
Springer
239views Optimization» more  LION 2010»
15 years 10 months ago
The EvA2 Optimization Framework
Abstract. We present EvA2, a comprehensive metaheuristic optimization framework with emphasis on Evolutionary Algorithms. It presents a modular structure of interfaces and abstract...
Marcel Kronfeld, Hannes Planatscher, Andreas Zell
ICIP
2003
IEEE
16 years 8 months ago
Object-based video compression scheme with optimal bit allocation among shape, motion and texture
In object-based video, the encoding of the video data is decoupled into the encoding of shape, motion and texture information, which enables certain functionalities like content-b...
Haohong Wang, Guido M. Schuster, Aggelos K. Katsag...