7 search results - page 1 / 2 » Approaches Based on Markovian Architectural Bias in Recurren... |
SOFSEM
2004
Springer
13 years 10 months ago
2004
Springer
Recent studies show that state-space dynamics of randomly initialized recurrent neural network (RNN) has interesting and potentially useful properties even without training. More p...
ESANN
2007
13 years 6 months ago
2007
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
JCNS
2000
13 years 4 months ago
2000
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
SCAI
2008
13 years 6 months ago
2008
Abstract. In the design of behavior-based control architectures for robots it is common to use biology as inspiration, and often the observed functionalities of insect behaviors ar...
IROS
2006
IEEE
13 years 10 months ago
2006
IEEE
—Robot imitation is a useful and promising alternative to robot programming. Robot imitation involves two crucial issues. The first is how a robot can imitate a human whose phys...