827 search results - page 124 / 166 » Variational methods for Reinforcement Learning |
SCVMA
2004
Springer
14 years 1 months ago
2004
Springer
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
PERCOM
2005
ACM
14 years 7 months ago
2005
ACM
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
IWEC
2004
13 years 9 months ago
2004
Autonomous synthetic actors must invent variations of known material in order to perform given only a limited script, and to assist the director with development of the performance...