582 search results - page 94 / 117 » Gaussian Processes in Reinforcement Learning |
RSS
2007
13 years 11 months ago
2007
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
ICML
1996
IEEE
14 years 10 months ago
1996
IEEE
Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
ESANN
2008
13 years 11 months ago
2008
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
IJCNN
2007
IEEE
14 years 4 months ago
2007
IEEE
Abstract— Cognitive control - the ability to produce appropriate behavior in complex situations - is a fundamental aspect of intelligence. It is increasingly evident that this co...
UAI
2008
13 years 11 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...