827 search results - page 20 / 166 » Variational methods for Reinforcement Learning |
117
Voted
TFS
2011
14 years 7 months ago
2011
—Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input– ...
103
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
145
Voted
Publication
We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous w...
JACIII
2006
15 years 13 days 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...
90
Voted
AAAI
2007
15 years 2 months ago
2007
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...