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» Building Relational World Models for Reinforcement Learning
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IAT
2003
IEEE
14 years 1 months ago
SIMPLE - A Multi-Agent System for Simultaneous and Related Auctions
This work describes a multi-agent architecture and strategy for trade in simultaneous and related auctions. The proposed SIMPLE Agency combines an integer programming model, machi...
Ruy Luiz Milidiú, Taciana Melcop, Frederico...
RAS
2007
132views more  RAS 2007»
13 years 7 months ago
Virtual sensors for human concepts - Building detection by an outdoor mobile robot
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We suggest to use a virtual sensor (one or several physic...
Martin Persson, Tom Duckett, Achim J. Lilienthal
ECAL
2007
Springer
14 years 1 months ago
Spatial Embedding and Complexity: The Small-World Is Not Enough
The “order for free” exhibited by some classes of system has been exploited by natural selection in order to build systems capable of exhibiting complex behaviour. Here we expl...
Christopher L. Buckley, Seth Bullock
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
13 years 9 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
WSC
1998
13 years 9 months ago
Customer Interfacing - Lessons Learned
Customer interfacing is the process through which one works with and relates to their customer. Often in the technical world, modelers find it easier to interface with computers r...
David M. Ferrin, Richard P. Lavecchia