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NIPS
1993
13 years 9 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
IJCV
2010
186views more  IJCV 2010»
13 years 6 months ago
An Approach to the Parameterization of Structure for Fast Categorization
A decomposition is described, which parameterizes the geometry and appearance of contours and regions of gray-scale images with the goal of fast categorization. To express the con...
Christoph Rasche
IJON
2002
219views more  IJON 2002»
13 years 7 months ago
NEURObjects: an object-oriented library for neural network development
NEURObjects is a set of C++ library classes for neural network development, exploiting the potentialities of object-oriented design and programming. The main goal of the library c...
Giorgio Valentini, Francesco Masulli
ACL
2007
13 years 9 months ago
Fast Semantic Extraction Using a Novel Neural Network Architecture
We describe a novel neural network architecture for the problem of semantic role labeling. Many current solutions are complicated, consist of several stages and handbuilt features...
Ronan Collobert, Jason Weston
ECML
2006
Springer
13 years 11 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....