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HRI
2007
ACM
14 years 2 months ago
Learning by demonstration with critique from a human teacher
Learning by demonstration can be a powerful and natural tool for developing robot control policies. That is, instead of tedious hand-coding, a robot may learn a control policy by ...
Brenna Argall, Brett Browning, Manuela M. Veloso
ECML
2007
Springer
14 years 4 months ago
Imitation Learning Using Graphical Models
Imitation-based learning is a general mechanism for rapid acquisition of new behaviors in autonomous agents and robots. In this paper, we propose a new approach to learning by imit...
Deepak Verma, Rajesh P. N. Rao
JMLR
2010
104views more  JMLR 2010»
13 years 5 months ago
Learnability, Stability and Uniform Convergence
The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental and long-standing answer, at least for the case of supervised c...
Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, K...
ICGA
2008
100views Optimization» more  ICGA 2008»
13 years 10 months ago
Learning the Piece Values for Three Chess Variants
A set of experiments for learning the values of chess pieces is described for the popular chess variants Crazyhouse Chess, Suicide Chess, and Atomic Chess. We follow an establishe...
Sacha Droste, Johannes Fürnkranz
JCP
2006
118views more  JCP 2006»
13 years 10 months ago
Learning a Classification-based Glioma Growth Model Using MRI Data
Gliomas are malignant brain tumors that grow by invading adjacent tissue. We propose and evaluate a 3D classification-based growth model, CDM, that predicts how a glioma will grow ...
Marianne Morris, Russell Greiner, Jörg Sander...