1063 search results - page 17 / 213 » Combining Simple Models to Approximate Complex Dynamics |
ICCBR
2007
Springer
14 years 1 months ago
2007
Springer
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
ICARCV
2008
IEEE
14 years 2 months ago
2008
IEEE
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
STOC
2003
ACM
14 years 7 months ago
2003
ACM
We describe a simple randomized construction for generating pairs of hash functions h1, h2 from a universe U to ranges V = [m] = {0, 1, . . . , m - 1} and W = [m] so that for ever...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
MOC
2010
13 years 2 months ago
2010
We consider temporal approximation of stationary statistical properties of dissipative complex dynamical systems. We demonstrate that stationary statistical properties of the time...