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GAMEON
2008
15 years 2 months ago
Generating Emergent Team Strategies in Football Simulation Videogames via Genetic Algorithms
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manage the behavior of a team in simulated football videogames. The chosen framework...
Antonio J. Fernández, Carlos Cotta, Rafael ...
RAS
2002
131views more  RAS 2002»
15 years 29 days ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada
QUESTA
2010
89views more  QUESTA 2010»
14 years 11 months ago
Asymptotically optimal importance sampling for Jackson networks with a tree topology
Consider a stable open Jackson Network with a tree topology. Customers arrive at the single root of the tree. The system is stable in the sense that the average service rate at ea...
Ali Devin Sezer
CDC
2008
IEEE
140views Control Systems» more  CDC 2008»
15 years 7 months ago
Model discrimination of polynomial systems via stochastic inputs
— Systems biologists are often faced with competing models for a given experimental system. Unfortunately, performing experiments can be time-consuming and expensive. Therefore, ...
Daniel Georgiev, Eric Klavins
GECCO
2004
Springer
15 years 6 months ago
Evolving a Roving Eye for Go
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
Kenneth O. Stanley, Risto Miikkulainen