425 search results - page 13 / 85 » Metacognitive Control and Optimal Learning |
ICML
1996
IEEE
15 years 1 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
IBPRIA
2009
Springer
15 years 2 months ago
2009
Springer
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
77
Voted
WCE
2007
14 years 10 months ago
2007
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
CDC
2010
IEEE
14 years 4 months ago
2010
IEEE
Abstract-- The authors have extended deterministic portHamiltonian systems into stochastic dynamical systems which are described by stochastic differential equations written in the...
TSMC
2008
14 years 8 months ago
2008
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...