411 search results - page 64 / 83 » Learning to Fly: An Application of Hierarchical Reinforcemen... |
281
Voted
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
141
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ARCS
2005
Springer
15 years 7 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
102
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AROBOTS
2004
15 years 1 months ago
2004
We propose a new method to program robots based on Bayesian inference and learning. It is called BRP for Bayesian Robot Programming. The capacities of this programming method are d...
115
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JMLR
2006
15 years 1 months ago
2006
We present worst case bounds for the learning rate of a known prediction method that is based on hierarchical applications of binary context tree weighting (CTW) predictors. A heu...
148
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SDM
2009
SIAM
15 years 11 months ago
2009
SIAM
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...