252 search results - page 24 / 51 » Optimal Sequential Exploration: A Binary Learning Model |
ATAL
2010
Springer
13 years 7 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
CVIU
2006
13 years 7 months ago
2006
We explore an approach to 3D people tracking with learned motion models and deterministic optimization. The tracking problem is formulated as the minimization of a differentiable ...
AI
1998
Springer
13 years 7 months ago
1998
Springer
In this paper, we address the tradeo between exploration and exploitation for agents which need to learn more about the structure of their environment in order to perform more e e...
NIPS
2004
13 years 9 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
ICCBR
2009
Springer
14 years 2 months ago
2009
Springer
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...