55 search results - page 10 / 11 » A Memetic Pareto Evolutionary Approach to Artificial Neural ... |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
DMIN
2006
13 years 8 months ago
2006
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...