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» Optimizing Control Variate Estimators for Rendering
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VR
2000
IEEE
174views Virtual Reality» more  VR 2000»
15 years 2 months ago
Optimization-Based Virtual Surface Contact Manipulation at Force Control Rates
Previous interactive works have used springs, heuristics, and dynamics for surface placement applications. We present an analytical technique for kilohertz rate manipulation of CA...
Donald D. Nelson, Elaine Cohen
70
Voted
WSC
2007
14 years 12 months ago
Derivative estimation with known control-variate variances
We investigate the conception that the sample variance of the control variate (CV) should be used for estimating the optimal linear CV weight, even when the CV variance is known. ...
Jamie R. Wieland, Bruce W. Schmeiser
ECAI
2010
Springer
14 years 10 months ago
EP for Efficient Stochastic Control with Obstacles
Abstract. We address the problem of continuous stochastic optimal control in the presence of hard obstacles. Due to the non-smooth character of the obstacles, the traditional appro...
Thomas Mensink, Jakob J. Verbeek, Bert Kappen
CRV
2005
IEEE
143views Robotics» more  CRV 2005»
15 years 3 months ago
Controlling Camera and Lights for Intelligent Image Acquisition and Merging
Docking craft in space and guiding mining machines are areas that often use remote video cameras equipped with one or more controllable light sources. In these applications, the p...
Olena Borzenko, Yves Lespérance, Michael R....
78
Voted
NIPS
2001
14 years 11 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...