76 search results - page 7 / 16 » Reinforcement Learning Based Neural Controllers for Dynamic ... |
SMC
2007
IEEE
14 years 1 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
ECAL
2005
Springer
14 years 1 months ago
2005
Springer
We present an example of the dynamical systems approach to learning and adaptation. Our goal is to explore how both control and learning can be embedded into a single dynamical sys...
ICRA
2008
IEEE
14 years 1 months ago
2008
IEEE
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Previous studies have shown that non-human primates can generate highly stochastic choice behaviour, especially when this is required during a competitive interaction with another...