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NIPS
2001
15 years 7 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
AAAI
1998
15 years 7 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
175
Voted
VMV
2003
165views Visualization» more  VMV 2003»
15 years 7 months ago
C1-Continuous Terrain Reconstruction from Sparse Contours
Contour lines from topographic maps are still the most common form of elevation data for the Earth’s surface and in the case of historical landscapes, they often are the only av...
Kai Hormann, Salvatore Spinello, Peter Schröd...
CASCON
1997
85views Education» more  CASCON 1997»
15 years 7 months ago
Fast detection of communication patterns in distributed executions
Understanding distributed applications is a tedious and di cult task. Visualizations based on process-time diagrams are often used to obtain a better understanding of the executio...
Thomas Kunz, Michiel F. H. Seuren
LISA
2000
15 years 7 months ago
Peep (The Network Auralizer): Monitoring Your Network with Sound
Activities in complex networks are often both too important to ignore and too tedious to watch. We created a network monitoring system, Peep, that replaces visual monitoring with ...
Michael Gilfix, Alva L. Couch