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ICML
2006
IEEE
16 years 5 months ago
PAC model-free reinforcement learning
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
Alexander L. Strehl, Lihong Li, Eric Wiewiora, Joh...
GPEM
2008
98views more  GPEM 2008»
15 years 4 months ago
Sporadic model building for efficiency enhancement of the hierarchical BOA
Efficiency enhancement techniques--such as parallelization and hybridization--are among the most important ingredients of practical applications of genetic and evolutionary algori...
Martin Pelikan, Kumara Sastry, David E. Goldberg
JC
2000
138views more  JC 2000»
15 years 4 months ago
Multivariate Polynomials, Duality, and Structured Matrices
We rst review thebasic properties of the well knownclasses of Toeplitz, Hankel, Vandermonde, and other related structured matrices and reexamine their correlation to operations wi...
Bernard Mourrain, Victor Y. Pan
DSN
2004
IEEE
15 years 8 months ago
Data-Aware Multicast
This paper presents a multicast algorithm for peer-topeer dissemination of events in a distributed topic-based publish-subscribe system, where processes publish events of certain ...
Sébastien Baehni, Patrick Th. Eugster, Rach...
137
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JAIR
2008
104views more  JAIR 2008»
15 years 4 months ago
M-DPOP: Faithful Distributed Implementation of Efficient Social Choice Problems
In the efficient social choice problem, the goal is to assign values, subject to side constraints, to a set of variables to maximize the total utility across a population of agent...
Adrian Petcu, Boi Faltings, David C. Parkes