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» Reinforcement Learning: Past, Present and Future
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AAMAS
2004
Springer
13 years 7 months ago
Autonomous Agents that Learn to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
Andrew Garland, Richard Alterman
AAMAS
2005
Springer
13 years 7 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
ICC
2007
IEEE
111views Communications» more  ICC 2007»
14 years 1 months ago
Security in All-Optical Networks: Self-Organization and Attack Avoidance
—While transparent WDM optical networks become more and more popular as the basis of the Next Generation Internet (NGI) infrastructure, such networks raise many unique security i...
Jae-Seung Yeom, Ozan K. Tonguz, Gerardo A. Casta&n...
CORR
2002
Springer
91views Education» more  CORR 2002»
13 years 7 months ago
Data Engineering for the Analysis of Semiconductor Manufacturing Data
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules ...
Peter D. Turney
SEMWEB
2009
Springer
14 years 1 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...