453 search results - page 62 / 91 » Learning from actions not taken: a multiagent learning algor... |
ICML
2000
IEEE
16 years 19 days ago
2000
IEEE
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
112
click to vote
ECML
2003
Springer
15 years 5 months ago
2003
Springer
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
160
click to vote
ILP
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
90
Voted
KBS
2006
14 years 11 months ago
2006
We present a system for visual robotic docking using an omnidirectional camera coupled with the actor critic reinforcement learning algorithm. The system enables a PeopleBot robot...
103
click to vote
EVOW
2010
Springer
15 years 3 months ago
2010
Springer
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...