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» Optimal Control Using Bisimulations: Implementation
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ICCBR
2009
Springer
14 years 3 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer
GECCO
2004
Springer
126views Optimization» more  GECCO 2004»
14 years 1 months ago
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
Sima Uyar, Sanem Sariel, Gülsen Eryigit
GECCO
2009
Springer
14 years 1 months ago
NEAT in increasingly non-linear control situations
Evolution of neural networks, as implemented in NEAT, has proven itself successful on a variety of low-level control problems such as pole balancing and vehicle control. Nonethele...
Matthias J. Linhardt, Martin V. Butz
IPPS
2007
IEEE
14 years 2 months ago
Reifying Control of Multi-Owned Network Resources
Communication delay is a key source of uncertainty in distributed systems. Existing approaches to reduce this uncertainty focus on maintaining sufficient surplus bandwidth; appli...
Nadeem Jamali, Chen Liu
ICRA
2005
IEEE
129views Robotics» more  ICRA 2005»
14 years 2 months ago
Dynamic Programming in Reduced Dimensional Spaces: Dynamic Planning For Robust Biped Locomotion
— We explore the use of computational optimal control techniques for automated construction of policies in complex dynamic environments. Our implementation of dynamic programming...
Mike Stilman, Christopher G. Atkeson, James Kuffne...