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CORR
2006
Springer
113views Education» more  CORR 2006»
13 years 7 months ago
A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
Manuel Loth, Philippe Preux
JAIR
2008
135views more  JAIR 2008»
13 years 7 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
JCIT
2008
138views more  JCIT 2008»
13 years 7 months ago
Enhancing the Routing Performance of Wireless Sensor Networks using Connected Dominating Sets
Many prominent applications in wireless sensor networks require collected information has to be routed to end nodes in an efficient manner. In general, Connected Dominating Set (C...
B. Paramasivan, Mohaideen Pitchai, Radha Krishnan
CORR
2007
Springer
126views Education» more  CORR 2007»
13 years 7 months ago
Rethinking Information Theory for Mobile Ad Hoc Networks
The subject of this article is the long standing open problem of developing a general capacity theory for wireless networks, particularly a theory capable of describing the fundam...
Jeffrey G. Andrews, Nihar Jindal, Martin Haenggi, ...
JAIR
2006
157views more  JAIR 2006»
13 years 7 months ago
Decision-Theoretic Planning with non-Markovian Rewards
A decision process in which rewards depend on history rather than merely on the current state is called a decision process with non-Markovian rewards (NMRDP). In decisiontheoretic...
Sylvie Thiébaux, Charles Gretton, John K. S...
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