995 search results - page 31 / 199 » Learning Useful Horn Approximations |
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
ICTAI
2006
IEEE
14 years 3 months ago
2006
IEEE
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...
ATAL
2008
Springer
13 years 12 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
ICA
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. A new dictionary learning method for exact sparse representation is presented in this paper. As the dictionary learning methods often iteratively update the sparse coeffi...
CDC
2010
IEEE
13 years 4 months ago
2010
IEEE
This research concerns a noncooperative dynamic game with large number of oscillators. The states are interpreted as the phase angles for a collection of non-homogeneous oscillator...