Titlebook: Adaptive Learning Agents; Second Workshop, ALA Matthew E. Taylor,Karl Tuyls Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2

薄膜

https://doi.org/10.1007/978-3-319-01026-7hrough complex learning processes of groups of people, (ii) a model of a phenomenon sheds light onto the strengths and weaknesses of the learning algorithm . of the model environment. In this paper we use tabular reinforcement learning to model the emergence of common property and transhumance in Su

Reclaim

The Electrical Installation Industry, collaboration partners at any time, represented by edges in a network of agent nodes, and can rewire edges, i.e., change partners, to improve performance. The common underlying research issue in these domains is the search for desirable interaction or collaboration partners in a relatively large po

hedonic

The Electrical Installation Industry,ing system conditions. In addition, many real world systems require the processing of multi-resource jobs where centralized coordination may be difficult. Most conventional algorithms, such as load balancing, are designed for centralized, single resource problems. Indeed, in such a case, load balanc

HILAR

嚴(yán)厲批評(píng)

978-3-642-11813-5Springer-Verlag Berlin Heidelberg 2010

institute

饑荒

B. Juliape of many catalysts limited. Herein we review the literature on selective transfer hydrogenation of α,β-unsaturated carbonyl compounds to the allylic alcohols using soluble transition metal complexes as catalysts. Ruthenium is the most employed metal in this field followed by iridium. In addition,

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Substitution

über das Verhalten des Reststickstoffes im Blute bei Grippe978-3-662-43024-8

heterogeneous