403 search results - page 3 / 81 » Sampling Bounds for Stochastic Optimization |
MOR
2007
13 years 9 months ago
2007
ICAART
2010
INSTICC
14 years 6 months 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...
CVPR
2005
IEEE
14 years 11 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. ...
WSC
2008
14 years 3 days 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...
JAIR
2008
13 years 9 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...