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» Convergence of Non-Elitist Strategies
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GECCO
2011
Springer
224views Optimization» more  GECCO 2011»
14 years 1 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
92
Voted
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
14 years 8 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
15 years 10 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
92
Voted
SAGT
2010
Springer
127views Game Theory» more  SAGT 2010»
14 years 8 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»
14 years 9 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