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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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78
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ATAL
2007
Springer
15 years 1 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 4 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ICPR
2002
IEEE
15 years 10 months ago
Bayesian Pot-Assembly from Fragments as Problems in Perceptual-Grouping and Geometric-Learning
A heretofore unsolved problem of great archaeological importance is the automatic assembly of pots made on a wheel from the hundreds (or thousands) of sherds found at an excavatio...
David B. Cooper, Andrew R. Willis, Stuart Andrews,...
71
Voted
AAAI
2008
14 years 11 months ago
Learning Grasp Strategies with Partial Shape Information
We consider the problem of grasping novel objects in cluttered environments. If a full 3-d model of the scene were available, one could use the model to estimate the stability and...
Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng
CORR
2010
Springer
138views Education» more  CORR 2010»
14 years 6 months ago
Rules of Thumb for Information Acquisition from Large and Redundant Data
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
Wolfgang Gatterbauer