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ICRA
2007
IEEE
177views Robotics» more  ICRA 2007»
14 years 3 months ago
A Path-Following Approach to Stable Bipedal Walking and Zero Moment Point Regulation
— Consider a biped evolving in the sagittal plane. The unexpected rotation of the supporting foot can be avoided by controlling the zero moment point or ZMP. The objective of thi...
Dalila Djoudi, Christine Chevallereau, J. W. Grizz...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 6 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
CIG
2006
IEEE
14 years 2 months ago
Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation
Abstract— This paper compares the use of temporal difference learning (TDL) versus co-evolutionary learning (CEL) for acquiring position evaluation functions for the game of Othe...
Simon M. Lucas, Thomas Philip Runarsson
GI
2003
Springer
14 years 2 months ago
Zur Architektur und Evolution von Krankenhausinformationssystemen
: Informationssysteme im Gesundheitswesen spielen eine wichtige Rolle bei der Unterstützung des Versorgungsprozesses, beim Qualitätsmanagement und auch bei der Reduktion von Fehl...
Richard Lenz, Klaus Kuhn
ECAL
2001
Springer
14 years 1 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...