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COLT
2007
Springer
15 years 5 months ago
Observational Learning in Random Networks
In the standard model of observational learning, n agents sequentially decide between two alternatives a or b, one of which is objectively superior. Their choice is based on a stoc...
Julian Lorenz, Martin Marciniszyn, Angelika Steger
CJ
2010
131views more  CJ 2010»
14 years 9 months ago
Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
Duncan Gillies, David Thornley, Chatschik Bisdikia...
WSDM
2012
ACM
243views Data Mining» more  WSDM 2012»
13 years 7 months ago
No search result left behind: branching behavior with browser tabs
Today’s Web browsers allow users to open links in new windows or tabs. This action, which we call ‘branching’, is sometimes performed on search results when the user plans t...
Jeff Huang, Thomas Lin, Ryen W. White
ATAL
2007
Springer
15 years 5 months ago
Policy recognition for multi-player tactical scenarios
This paper addresses the problem of recognizing policies given logs of battle scenarios from multi-player games. The ability to identify individual and team policies from observat...
Gita Sukthankar, Katia P. Sycara
ECAL
2007
Springer
15 years 5 months ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon