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» Optimal Monte Carlo Algorithms
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ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
14 years 2 months ago
Negative information and line observations for Monte Carlo localization
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
Todd Hester, Peter Stone
SAC
2008
ACM
13 years 7 months ago
Particle methods for maximum likelihood estimation in latent variable models
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
Adam M. Johansen, Arnaud Doucet, Manuel Davy
CG
2006
Springer
13 years 11 months ago
A Skat Player Based on Monte-Carlo Simulation
We apply Monte Carlo simulation and alpha-beta search to the card game of Skat, which is similar to Bridge, but different enough to require some new algorithmic ideas besides the t...
Sebastian Kupferschmid, Malte Helmert
ICARIS
2003
Springer
14 years 26 days ago
A Randomized Real-Valued Negative Selection Algorithm
This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it ...
Fabio A. González, Dipankar Dasgupta, Luis ...
NAACL
2007
13 years 9 months ago
Bayesian Inference for PCFGs via Markov Chain Monte Carlo
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an altern...
Mark Johnson, Thomas L. Griffiths, Sharon Goldwate...