35 search results - page 4 / 7 » Dynamics of Learning in Recurrent Feature-Discovery Networks |
ICES
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
EVOW
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
ACSC
2008
IEEE
13 years 10 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
COMPLEXITY
2008
13 years 8 months ago
2008
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
TSMC
2008
13 years 8 months ago
2008
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...