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» A novel method for learning policies from constrained motion
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ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 4 months ago
A novel method for learning policies from constrained motion
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
IROS
2009
IEEE
146views Robotics» more  IROS 2009»
15 years 4 months ago
Robust constraint-consistent learning
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
CVPR
2008
IEEE
15 years 11 months ago
Re-thinking non-rigid structure from motion
We present a novel approach to non-rigid structure from motion (NRSFM) from an orthographic video sequence, based on a new interpretation of the problem. Existing approaches assum...
Vincent Rabaud, Serge Belongie
AAAI
2010
14 years 11 months ago
Relative Entropy Policy Search
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
Jan Peters, Katharina Mülling, Yasemin Altun
ICPR
2006
IEEE
15 years 10 months ago
Video Completion for Perspective Camera Under Constrained Motion
This paper presents a novel technique to fill in missing background and moving foreground of a video captured by a static or moving camera. Different from previous efforts which a...
Yuping Shen, Fei Lu, Xiaochun Cao, Hassan Foroosh