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ATAL
2007
Springer
15 years 8 months ago
Approximate state estimation in multiagent settings with continuous or large discrete state spaces
We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...
Prashant Doshi
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 7 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
CGF
2008
124views more  CGF 2008»
15 years 2 months ago
Real-time Animation of Sand-Water Interaction
Recent advances in physically-based simulations have made it possible to generate realistic animations. However, in the case of solid-fluid coupling, wetting effects have rarely b...
Witawat Rungjiratananon, Zoltan Szego, Yoshihiro K...
CGF
2010
167views more  CGF 2010»
14 years 11 months ago
Chain Shape Matching for Simulating Complex Hairstyles
Animations of hair dynamics greatly enrich the visual attractiveness of human characters. Traditional simulation techniques handle hair as clumps or continuum for efficiency; howe...
Witawat Rungjiratananon, Yoshihiro Kanamori, Tomoy...
WSC
2004
15 years 3 months ago
Monte Carlo Methods for American Options
We review the basic properties of American options and the difficulties of applying Monte Carlo valuation to American options. Recent progress on the Least Squares Monte Carlo (LS...
Russel E. Caflisch, Suneal Chaudhary