9841 search results - page 45 / 1969 » Distributed Value Functions |
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
VALUETOOLS
2006
ACM
15 years 3 months ago
2006
ACM
We present a new approximation method called value extrapolation for Markov processes with large or infinite state spaces. The method can be applied for calculating any performan...
EUROPAR
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Embedded Runge-Kutta methods are among the most popular methods for the solution of non-stiff initial value problems of ordinary differential equations (ODEs). We investi...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...
SIGECOM
2008
ACM
14 years 9 months ago
2008
ACM
We provide tight information-theoretic lower bounds for the welfare maximization problem in combinatorial auctions. In this problem, the goal is to partition m items among k bidde...