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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ICC
2007
IEEE
142views Communications» more  ICC 2007»
14 years 1 months ago
Reduced-Complexity Cluster Modelling for the 3GPP Channel Model
—The realistic performance of a multi-input multi-output (MIMO) communication system depends strongly on the spatial correlation properties introduced by clustering in the propag...
Hui Xiao, Alister G. Burr, Rodrigo C. de Lamare
JSAI
2001
Springer
13 years 12 months ago
Complexity of Agents and Complexity of Markets
In this study we rethought efficient market hypothesis from a viewpoint of complexity of market participants’ prediction methods and market price’s dynamics, and examined the ...
Kiyoshi Izumi
ANSS
2001
IEEE
13 years 11 months ago
Models of Complex Physical Systems Using Cell-DEVS
We present the definition of diverse models of physical systems using the Cell-DEVS paradigm. Cell-DEVS is an extension of the DEVS formalism that allows the definition of cellula...
Javier Ameghino, Alejandro Troccoli, Gabriel A. Wa...
AHS
2007
IEEE
202views Hardware» more  AHS 2007»
13 years 7 months ago
PERPLEXUS: Pervasive Computing Framework for Modeling Complex Virtually-Unbounded Systems
This paper introduces Perplexus, a European project that aims to develop a scalable hardware platform made of custom reconfigurable devices endowed with bio-inspired capabilities...
Eduardo Sanchez, Andrés Pérez-Uribe,...