8 search results - page 2 / 2 » Neuroevolutionary optimization |
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Niching schemes, which sustain population diversity and let an evolutionary population avoid premature convergence, have been extensively studied in the research field of evoluti...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
ATAL
2005
Springer
13 years 10 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...