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TSMC
2008
132views more  TSMC 2008»
13 years 8 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
AMC
2006
120views more  AMC 2006»
13 years 8 months ago
Discrete-velocity relaxation methods for large eddy simulation
ct 9 A new discrete-velocity method for the numerical solution of large eddy simulation (LES) is presented based on relax10 ation type formulation. The discrete-velocity equations ...
Mapundi K. Banda, Mohammed Seaïd, Ioan Teleag...
VIS
2004
IEEE
163views Visualization» more  VIS 2004»
14 years 9 months ago
Dispersion Simulation and Visualization For Urban Security
We present a system for simulating and visualizing the propagation of dispersive contaminants with an application to urban security. In particular, we simulate airborne contaminan...
Arie E. Kaufman, Feng Qiu, Haik Lorenz, Jianning W...
IPL
2008
98views more  IPL 2008»
13 years 8 months ago
On the number of Go positions on lattice graphs
We use transfer matrix methods to determine bounds for the numbers of legal Go positions for various numbers of players on some planar lattice graphs, including square lattice gra...
Graham Farr, Johannes Schmidt
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 3 days ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia