2027 search results - page 75 / 406 » Learning and Generalization with the Information Bottleneck |
AAMAS
2007
Springer
14 years 10 months ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
WWW
2004
ACM
15 years 10 months ago
2004
ACM
The ontological representation of learning objects is a way to deal with the interoperability and reusability of learning objects (including metadata) through providing a semantic...
KES
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents a new learning method for automatic acquisition of translation knowledge from parallel corpora. We apply this learning method to automatic extraction of bilingu...
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
IUI
2006
ACM
15 years 3 months ago
2006
ACM
In this paper we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an intelligent learning environmen...