369 search results - page 14 / 74 » Global Optimization for Value Function Approximation |
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
STOC
2012
ACM
11 years 11 months ago
2012
ACM
The Chow parameters of a Boolean function f : {−1, 1}n → {−1, 1} are its n + 1 degree-0 and degree-1 Fourier coefficients. It has been known since 1961 [Cho61, Tan61] that ...
LFP
1992
13 years 9 months ago
1992
Tag handling accounts for a substantial amount of execution cost in latently typed languages such as Common LISP and Scheme, especially on architectures that provide no special ha...
CORR
2011
Springer
13 years 3 months ago
2011
Springer
In the paper, the global optimization problem of a multidimensional “black-box” function satisfying the Lipschitz condition over a hyperinterval with an unknown Lipschitz const...
SIAMJO
2002
13 years 8 months ago
2002
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...