Efficient reinforcement learning through symbiotic evolution
Machine Learning - Special issue on reinforcement learning
Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Natural gradient works efficiently in learning
Neural Computation
Evolving neural networks through augmenting topologies
Evolutionary Computation
Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
Machine learning of motor skills for robotics
Machine learning of motor skills for robotics
Neurocomputing
Efficient natural evolution strategies
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Efficient non-linear control through neuroevolution
ECML'06 Proceedings of the 17th European conference on Machine Learning
Efficient natural evolution strategies
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Exponential natural evolution strategies
Proceedings of the 12th annual conference on Genetic and evolutionary computation
A natural evolution strategy for multi-objective optimization
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
High dimensions and heavy tails for natural evolution strategies
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Larger residuals, less work: active document scheduling for latent dirichlet allocation
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
More influence means less work: fast latent dirichlet allocation by influence scheduling
Proceedings of the 20th ACM international conference on Information and knowledge management
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Block diagonal natural evolution strategies
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
A natural evolution strategy with asynchronous strategy updates
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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To optimize unknown 'fitness' functions, we present Natural Evolution Strategies, a novel algorithm that constitutes a principled alternative to standard stochastic search methods. It maintains a multinormal distribution on the set of solution candidates. The Natural Gradient is used to update the distribution's parameters in the direction of higher expected fitness, by efficiently calculating the inverse of the exact Fisher information matrix whereas previous methods had to use approximations. Other novel aspects of our method include optimal fitness baselines and importance mixing, a procedure adjusting batches with minimal numbers of fitness evaluations. The algorithm yields competitive results on a number of benchmarks.