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AAAI
2006
13 years 10 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
EOR
2010
88views more  EOR 2010»
13 years 9 months ago
Monge extensions of cooperation and communication structures
Cooperation structures without any a priori assumptions on the combinatorial structure of feasible coalitions are studied and a general theory for marginal values, cores and conve...
Ulrich Faigle, Michel Grabisch, M. Heyne
MOBIDE
2009
ACM
14 years 3 months ago
Demonstrating an evacuation algorithm with mobile devices using an e-scavenger hunt game
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Jesse Szwedko, Callen Shaw, Alexander G. Connor, A...
ECAL
2003
Springer
14 years 2 months ago
Language Games with Mixed Populations
This paper presents an adaptation of Luc Steels’s model of Category Formation and Language Sharing. The simple competitive learning algorithm is proposed as a more general means ...
Michael Lewin, Emmet Spier
ATAL
2009
Springer
14 years 3 months ago
Computing optimal randomized resource allocations for massive security games
Predictable allocations of security resources such as police officers, canine units, or checkpoints are vulnerable to exploitation by attackers. Recent work has applied game-theo...
Christopher Kiekintveld, Manish Jain, Jason Tsai, ...