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PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
15 years 11 months ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
HRI
2006
ACM
15 years 10 months ago
Daily HRI evaluation at a classroom environment: reports from dance interaction experiments
The design and development of social robots that interact and assist people in daily life requires moving into unconstrained daily-life environments. This presents unexplored meth...
Fumihide Tanaka, Javier R. Movellan, Bret Fortenbe...
ICPPW
2002
IEEE
15 years 9 months ago
Hebbian Algorithms for a Digital Library Recommendation System
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Francis Heylighen, Johan Bollen
ICML
2010
IEEE
15 years 5 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet
JMLR
2006
80views more  JMLR 2006»
15 years 4 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...