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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
CGF
2008
154views more  CGF 2008»
14 years 9 months ago
Precomputed Atmospheric Scattering
We present a new and accurate method to render the atmosphere in real time from any viewpoint from ground level to outer space, while taking Rayleigh and Mie multiple scattering i...
Eric Bruneton, Fabrice Neyret
PR
2007
293views more  PR 2007»
14 years 9 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
ICML
2001
IEEE
15 years 10 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore
VC
2010
133views more  VC 2010»
14 years 8 months ago
Visual simulation of mixed-motion avalanches with interactions between snow layers
In the field of computer graphics, simulation of fluids, including avalanches, is an important research topic. In this paper, we propose a method to simulate a kind of avalanche,...
Yusuke Tsuda, Yonghao Yue, Yoshinori Dobashi, Tomo...