748 search results - page 18 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
111
Voted
ICES
2003
Springer
15 years 8 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...
127
Voted
JMLR
2008
15 years 2 months ago
2008
Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is it difficult to model real world systems, but oft...
121
Voted
FUIN
2008
15 years 2 months ago
2008
Spiking neural P systems simulate the behavior of neurons sending signals through axons. Recently, some applications concerning Boolean circuits and sorting algorithms have been pr...
152
Voted
IEEEPACT
2008
IEEE
15 years 9 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
142
Voted
NN
2010
Springer
14 years 9 months 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 ...