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» Solving Simple Stochastic Games
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CEC
2010
IEEE
14 years 11 months ago
A Mean-Variance Optimization algorithm
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...
92
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AIPS
2008
15 years 15 days ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
CCECE
2009
IEEE
15 years 5 months ago
Estimation of boundary properties using stochastic differential equations
The inverse diffusion problems deal with the estimation of many crucial parameters such as the diffusion coefficient, source properties, and boundary conditions. Such algorithms ...
Ashraf Atalla, Aleksandar Jeremic
MIG
2009
Springer
15 years 4 months ago
Exploiting Motion Capture to Enhance Avoidance Behaviour in Games
Abstract. Realistic simulation of interacting virtual characters is essential in computer games, training and simulation applications. The problem is very challenging since people ...
Ben J. H. van Basten, Sander E. M. Jansen, Ioannis...
SIAMCO
2010
116views more  SIAMCO 2010»
14 years 8 months ago
Large-Population LQG Games Involving a Major Player: The Nash Certainty Equivalence Principle
We consider linear-quadratic-Gaussian (LQG) games with a major player and a large number of minor players. The major player has a significant influence on others. The minor playe...
Minyi Huang