403 search results - page 3 / 81 » Sampling Bounds for Stochastic Optimization |
MOR
2007
15 years 2 months ago
2007
211
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ICAART
2010
INSTICC
16 years 9 days ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
161
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CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...
112
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WSC
2008
15 years 5 months ago
2008
We study a stochastic optimization problem that has its roots in financial portfolio design. The problem has a specified deterministic objective function and constraints on the co...
151
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JAIR
2008
15 years 3 months ago
2008
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...