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GECCO
2009
Springer
135views Optimization» more  GECCO 2009»
16 years 1 months ago
Neuroevolutionary reinforcement learning for generalized helicopter control
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
Rogier Koppejan, Shimon Whiteson
CLUSTER
2008
IEEE
16 years 1 months ago
A multicore-enabled multirail communication engine
—The current trend in clusters architecture leads toward a massive use of multicore chips. This hardware evolution raises bottleneck issues at the network interface level. The us...
Elisabeth Brunet, François Trahay, Alexandr...
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 22 days ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
AIED
2005
Springer
16 years 3 days ago
The role of learning goals in the design of ILEs: Some issues to consider
Part of the motivation behind the evolution of learning environments is the idea of providing students with individualized instructional strategies that allow them to learn as much...
Erika Martínez-Mirón, Amanda Harris,...
WACV
2002
IEEE
15 years 11 months ago
Segmentation of Myocardium Using Velocity Field Constrained Front Propagation
We present a velocity-constrained front propagation approach for myocardium segmentation from magnetic resonance intensity image (MRI) and its matching phase contrast velocity (PC...
Alexandra L. N. Wong, Huafeng Liu, Pengcheng Shi