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» Discovering options from example trajectories
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ICML
2009
IEEE
14 years 5 months ago
Discovering options from example trajectories
We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...
Peng Zang, Peng Zhou, David Minnen, Charles Lee Is...
WSC
2004
13 years 6 months ago
Stream Option Manager
Stream Option Manager (SOM) is a set of mathematical tools developed at The MITRE Corporation's Center for Advanced Aviation System Development (CAASD). While still under dev...
William P. Niedringhaus, Michael J. White, Patrick...
SSD
2005
Springer
173views Database» more  SSD 2005»
13 years 10 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
CP
2003
Springer
13 years 10 months ago
Open Constraint Optimization
Constraint satisfaction has been applied with great success in closed-world scenarios, where all options and constraints are known from the beginning and fixed. With the internet,...
Boi Faltings, Santiago Macho-Gonzalez
PREMI
2007
Springer
13 years 11 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron