417 search results - page 37 / 84 » Reinforcement Learning Estimation of Distribution Algorithm |
190
click to vote
Presentation
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
113
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
111
click to vote
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
119
Voted
KDD
2004
ACM
16 years 2 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
136
click to vote
CIKM
2011
Springer
14 years 2 months ago
2011
Springer
In most of the cases, scientists depend on previous literature which is relevant to their research fields for developing new ideas. However, it is not wise, nor possible, to trac...