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» Learning to Control in Operational Space
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GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
15 years 9 months ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
RAS
2007
122views more  RAS 2007»
15 years 3 months ago
Developmental learning for autonomous robots
Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of compe...
M. H. Lee, Q. Meng, F. Chao
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
15 years 9 months ago
Monotonic solution concepts in coevolution
Assume a coevolutionary algorithm capable of storing and utilizing all phenotypes discovered during its operation, for as long as it operates on a problem; that is, assume an algo...
Sevan G. Ficici
154
Voted
ICML
2000
IEEE
16 years 4 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
142
Voted
ATAL
2006
Springer
15 years 7 months ago
Evolutionary Optimization of ZIP60: A Controlled Explosion in Hyperspace
The "ZIP" adaptive trading algorithm has been demonstrated to outperform human traders in experimental studies of continuous double auction (CDA) markets. The original Z...
Dave Cliff