252 search results - page 11 / 51 » Optimal Sequential Exploration: A Binary Learning Model |
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
EC
2010
13 years 5 months ago
2010
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
IPPS
2006
IEEE
14 years 1 months ago
2006
IEEE
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...