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TSMC
2008
229views more  TSMC 2008»
15 years 6 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
4OR
2004
79views more  4OR 2004»
15 years 6 months ago
Constrained auction clearing in the Italian electricity market
Most of the liberalized electricity systems use the auction as a market model. The complexity of the underlying optimization formulation depends on the technical and regulatory con...
Patrizia Beraldi, Domenico Conforti, Chefi Triki, ...
170
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JSA
2007
123views more  JSA 2007»
15 years 6 months ago
Application of deterministic and stochastic Petri-Nets for performance modeling of NoC architectures
The design of appropriate communication architectures for complex Systems-on-Chip (SoC) is a challenging task. One promising alternative to solve these problems are Networks-on-Ch...
Holger Blume, Thorsten von Sydow, Daniel Becker, T...
AI
2004
Springer
15 years 6 months ago
Efficient learning equilibrium
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
Ronen I. Brafman, Moshe Tennenholtz
TVCG
2008
116views more  TVCG 2008»
15 years 6 months ago
On Linear Variational Surface Deformation Methods
This survey reviews the recent advances in linear variational mesh deformation techniques. These methods were developed for editing detailed high-resolution meshes like those produ...
Mario Botsch, Olga Sorkine