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» Convergence of Non-Elitist Strategies
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GECCO
2011
Springer
224views Optimization» more  GECCO 2011»
12 years 11 months ago
Mirrored sampling in evolution strategies with weighted recombination
This paper introduces mirrored sampling into evolution strategies (ESs) with weighted multi-recombination. Two further heuristics are introduced: pairwise selection selects at mos...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
13 years 6 months ago
Generalized Bilateral MIMO Control by States Convergence with time delay and application for the teleoperation of a 2-DOF helico
— Bilateral Control by States Convergence is a novel and little exploited control strategy that has been successfully applied to the teleoperation of robotic manipulators using S...
Claudia Pérez-D'Arpino, Wilfredis Medina Me...
ICML
2003
IEEE
14 years 8 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
SAGT
2010
Springer
127views Game Theory» more  SAGT 2010»
13 years 5 months ago
On the Rate of Convergence of Fictitious Play
Fictitious play is a simple learning algorithm for strategic games that proceeds in rounds. In each round, the players play a best response to a mixed strategy that is given by the...
Felix Brandt, Felix A. Fischer, Paul Harrenstein
ETS
2002
IEEE
92views Hardware» more  ETS 2002»
13 years 7 months ago
Technological and Pedagogical Convergence between Work-based and Campus-based Learning
There is a strong technological and economic push for higher education providers to adopt online learning strategies. This is driven, in part, by the requirement of industry for l...
David F. Radcliffe