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» An algorithmic approach to knowledge evolution
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ICML
2000
IEEE
16 years 7 months ago
Reinforcement Learning in POMDP's via Direct Gradient Ascent
This paper discusses theoretical and experimental aspects of gradient-based approaches to the direct optimization of policy performance in controlled ??? ?s. We introduce ??? ?, a...
Jonathan Baxter, Peter L. Bartlett
ISBI
2004
IEEE
16 years 7 months ago
A Template-Propagation Method for Segmentation of Filamentous Structures in Electron Tomograms
We report a method for semi-automated segmentation of extended features such as filamentous structures in electron tomograms. We present an application of this method for the auto...
Sriram Subramaniam, Peijun Zhang, David Germain, T...
ICRA
2009
IEEE
122views Robotics» more  ICRA 2009»
16 years 1 months ago
Probabilistic search optimization and mission assignment for heterogeneous autonomous agents
— This paper presents an algorithmic framework for conducting search and identification missions using multiple heterogeneous agents. Dynamic objects of type “neutral” or ...
Timothy H. Chung, Moshe Kress, Johannes O. Royset
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
16 years 26 days ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
DAGM
2007
Springer
16 years 22 days ago
Rigid Motion Constraints for Tracking Planar Objects
Typical tracking algorithms exploit temporal coherence, in the sense of expecting only small object motions. Even without exact knowledge of the scene, additional spatial coherence...
Olaf Kähler, Joachim Denzler