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CIG
2005
IEEE
14 years 12 months ago
A Survey on Multiagent Reinforcement Learning Towards Multi-Robot Systems
Abstract- Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theor...
Erfu Yang, Dongbing Gu
CVPR
2001
IEEE
16 years 5 hour ago
Learning Representative Local Features for Face Detection
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhan...
FBIT
2007
IEEE
15 years 4 months ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
NAACL
2007
14 years 11 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
WMTE
2005
IEEE
15 years 3 months ago
Lifeblog: A New Concept in Mobile Learning?
In this paper we report early findings from a sample of Australian participants using Nokia’s Lifeblog software on mobile phones to record aspects of living and learning in both...
Elizabeth Hartnell-Young, Frank Vetere