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ECML
2004
Springer
14 years 26 days ago
Convergence and Divergence in Standard and Averaging Reinforcement Learning
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
Marco Wiering
IJCAI
2001
13 years 8 months ago
A Framework for Declarative Update Specifications in Logic Programs
Recently, several approaches for updating knowledge bases represented as logic programs have been proposed. In this paper, we present a generic framework for declarative specifica...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...
WSC
2008
13 years 9 months ago
Simulating inventory systems with forecast based policy updating
This paper presents an object oriented framework that facilitates modeling inventory systems whose policy updating is driven by forecast estimates. In an inventory system, the for...
Manuel D. Rossetti, Vijith Varghese, Mehmet Miman,...
IAT
2007
IEEE
13 years 9 months ago
Resource-Aware Update Policy for Highly Dynamic P2P Networks
As a user attention has become a precious resource, a special care has to be taken to reduce the time needed for answering queries in P2P networks. Existing solutions are usually ...
Dragan Milosevic, Jérôme Kunegis, Sah...
WETICE
2003
IEEE
14 years 22 days ago
On Optimal Update Policies and Cluster Sizes for 2-Tier Distributed Systems
We try to analyze a generic model for 2-tier distributed systems, exploring the possibility of optimal cluster sizes from an information management perspective, such that the over...
Prasenjit Dey, Anwitaman Datta