1383 search results - page 81 / 277 » The Convergence of Iterated Classification |
AAMAS
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
106
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CORR
2010
Springer
15 years 25 days ago
2010
Springer
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
156
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Publication
We describe a general-purpose method for the accurate and robust interpretation of a data set of p-dimensional points by several deformable prototypes. This method is based on the ...
116
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CIVR
2004
Springer
15 years 6 months ago
2004
Springer
This paper presents a system designed for the management of multimedia databases that embarks upon the problem of efficient media processing and representation for automatic semant...