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PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
16 years 1 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
234
Voted
HRI
2006
ACM
16 years 28 days 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 12 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 8 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 7 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...