3084 search results - page 18 / 617 » Learning to Take Actions |
84
Voted
ESANN
1998
14 years 11 months ago
1998
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
78
Voted
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
In this article, we propose a special type of decision tree, called a decision cascade, for binarizing document images. Such images are produced by cameras, resulting in varying de...
77
Voted
JACIII
2006
14 years 9 months ago
2006
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
TCSV
2008
14 years 9 months ago
2008
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...