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» Dynamic Control of Genetic Algorithms in a Noisy Environment
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AAAI
1996
13 years 9 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 9 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 3 months ago
Multi-resolution path planning: Theoretical analysis, efficient implementation, and extensions to dynamic environments
A multi-resolution path planning algorithm based on the wavelet transform of the environment has been reported previously in the literature. In this paper, we provide a proof of co...
Raghvendra V. Cowlagi, Panagiotis Tsiotras
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
13 years 6 months ago
Time-bounded lattice for efficient planning in dynamic environments
For vehicles navigating initially unknown cluttered environments, current state-of-the-art planning algorithms are able to plan and re-plan dynamically-feasible paths efficiently a...
Aleksandr Kushleyev, Maxim Likhachev
CEC
2005
IEEE
13 years 10 months ago
Evolving autonomous agent control in the Xpilot environment
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
Gary B. Parker, Matt Parker, Steven D. Johnson