Monte-Carlo Simulation Balancing in Practice

13 years 9 months ago

Download remi.coulom.free.fr

Simulation balancing is a new technique to tune parameters of a playout policy for a Monte-Carlo game-playing program. So far, this algorithm had only been tested in a very artificial setting: it was limited to 5

Shih-Chieh Huang, Rémi Coulom, Shun-Shii Li

Real-time Traffic

Balancing | CG 2010 | Computer Graphics | Playout Policy | Simulation |

claim paper

Related Content

» MonteCarlo simulation balancing

» Practical MonteCarlo based timing yield estimation of digital circuits

» A Practical Markov Chain Monte Carlo Approach to Decision Problems

» Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters

» Monte Carlo simulation approach to stochastic programming

» QuasiMonte Carlo methods in cash flow testing simulations

» A Fresh Look at Multicanonical Monte Carlo from a Telecom Perspective

» High Performance MonteCarlo Based Option Pricing on FPGAs

» RateDistortion via Markov Chain Monte Carlo

Post Info
More Details (n/a)

Added	10 Feb 2011
Updated	10 Feb 2011
Type	Journal
Year	2010
Where	CG
Authors	Shih-Chieh Huang, Rémi Coulom, Shun-Shii Lin

Comments (0)

Sciweavers

Monte-Carlo Simulation Balancing in Practice

Balancing | CG 2010 | Computer Graphics | Playout Policy | Simulation |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers