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ICMLA
2003
13 years 9 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
IJCAI
1993
13 years 9 months ago
Statistical Foundations for Default Reasoning
We describe a new approach to default reasoning, based on a principle of indi erence among possible worlds. We interpret default rules as extreme statistical statements, thus obta...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
TWC
2008
176views more  TWC 2008»
13 years 7 months ago
Asynchronous distributed power and rate control in ad hoc networks: a game-theoretic approach
This paper analyzes distributed asynchronous power and rate control for wireless ad hoc networks. Importantly, all network transmitters are considered to be independent of any mana...
Stepán Kucera, Sonia Aïssa, Koji Yamam...
JAIR
1998
195views more  JAIR 1998»
13 years 7 months ago
AntNet: Distributed Stigmergetic Control for Communications Networks
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo syst...
Gianni Di Caro, Marco Dorigo
ICWS
2008
IEEE
13 years 9 months ago
A Temporal Data-Mining Approach for Discovering End-to-End Transaction Flows
Effective management of Web Services systems relies on accurate understanding of end-to-end transaction flows, which may change over time as the service composition evolves. This ...
Ting Wang, Chang-Shing Perng, Tao Tao, Chunqiang T...