147 search results - page 20 / 30 » Policy Gradient in Continuous Time |
ML
2006
ACM
13 years 9 months ago
2006
ACM
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We introduce a new algorithm for video retargeting that uses discontinuous seam-carving in both space and time for resizing videos. Our algorithm relies on a novel appearance-base...
ICRA
2006
IEEE
14 years 3 months ago
2006
IEEE
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...
NIPS
2003
13 years 11 months ago
2003
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...