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DAGM
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
GECCO
2009
Springer
13 years 11 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...
CEC
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper describes and experimentally evaluates the viability of the (
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
IJRR
2008
13 years 4 months ago
2008
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...