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NIPS
1993
13 years 5 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
NIPS
2007
13 years 6 months ago
Random Sampling of States in Dynamic Programming
We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
Christopher G. Atkeson, Benjamin Stephens
CVPR
2006
IEEE
14 years 6 months ago
Robust People Tracking with Global Trajectory Optimization
Given three or four synchronized videos taken at eye level and from different angles, we show that we can effectively use dynamic programming to accurately follow up to six indivi...
François Fleuret, Jérôme Bercl...
AOR
2010
13 years 2 months ago
Speeding up Stochastic Dynamic Programming with Zero-Delay Convolution
We show how a technique from signal processing known as zero-delay convolution can be used to develop more efficient dynamic programming algorithms for a broad class of stochastic...
Brian C. Dean
CEC
2010
IEEE
13 years 5 months ago
Constrained global optimization of low-thrust interplanetary trajectories
The optimization of spacecraft trajectories can be formulated as a global optimization task. The complexity of the problem depends greatly on the problem formulation, on the spacec...
Chit Hong Yam, David Di Lorenzo, Dario Izzo