163 search results - page 3 / 33 » Neural networks organizations to learn complex robotic funct... |
IJCAI
2007
13 years 6 months ago
2007
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
NIPS
1992
13 years 6 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
ISNN
2007
Springer
13 years 11 months ago
2007
Springer
In recent years, many efforts have been put in applying the concept of reconfigurable computing to neural networks. In our previous pursuits, an innovative self-organizing learning...
NN
2010
Springer
13 years 1 days ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
ECAL
1999
Springer
13 years 9 months ago
1999
Springer
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...