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AAAI
1997
15 years 7 months ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
JAIR
2002
106views more  JAIR 2002»
15 years 6 months ago
Collective Intelligence, Data Routing and Braess' Paradox
We consider the problem of designing the the utility functions of the utility-maximizing agents in a multi-agent system (MAS) so that they work synergistically to maximize a globa...
David Wolpert, Kagan Tumer
MOC
2002
103views more  MOC 2002»
15 years 6 months ago
A computational approach to Hilbert modular group fixed points
Some useful information is known about the fundamental domain for certain Hilbert modular groups. The six nonequivalent points with nontrivial isotropy in the fundamental domains u...
Jesse Ira Deutsch
BALT
2010
15 years 1 months ago
Grammatical Aspects: Coping with Duplication and Tangling in Language Specifications
For the purposes of tool development, computer languages are usually described using context-free grammars with annotations such as semantic actions or pretty-printing instructions...
Andrey Breslav
ACMICEC
2008
ACM
276views ECommerce» more  ACMICEC 2008»
15 years 8 months ago
A Bayesian network for IT governance performance prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT...
Mårten Simonsson, Robert Lagerström, Po...