8 search results - page 1 / 2 » Neuroevolutionary optimization |
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
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 ...
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...
TCIAIG
2010
12 years 11 months ago
2010
In this paper, we use computational intelligence techniques to built quantitative models of player experience for a platform game. The models accurately predict certain key affecti...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
This paper describes a study of the evolution of distributed behavior, specifically the control of agents in a mobile ad hoc network, using neuroevolution. In neuroevolution, a p...