55 search results - page 11 / 11 » Neural Networks for State Evaluation in General Game Playing |
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
AAAI
2004
13 years 6 months ago
2004
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
ECUMN
2004
Springer
13 years 11 months ago
2004
Springer
- Channel-state-aware scheduling strategies on wireless links play an essential role for enhancing throughput performance of elastic data traffic by exploiting channel fluctuatio...
GECCO
2006
Springer
13 years 9 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...