74 search results - page 4 / 15 » Formalizing Multi-state Learning Dynamics |
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
MDPs are an attractive formalization for planning, but realistic problems often have intractably large state spaces. When we only need a partial policy to get from a fixed start s...
ICRA
2007
IEEE
14 years 4 months ago
2007
IEEE
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
ICML
1996
IEEE
14 years 2 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...
FOIS
2006
13 years 11 months ago
2006
Natural languages are easy to learn by infants, they can express any thought that any adult might ever conceive, and they accommodate the limitations of human breathing rates and s...
TNN
2008
13 years 10 months ago
2008
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...