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» The possible and the impossible in multi-agent learning
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ATAL
2003
Springer
13 years 11 months ago
A protocol for multi-agent diagnosis with spatially distributed knowledge
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a single model of the whole system. Instead, several spatially distributed local...
Nico Roos, Annette ten Teije, Cees Witteveen
AAAI
2008
13 years 8 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens
ICGI
1998
Springer
13 years 10 months ago
Learning Stochastic Finite Automata from Experts
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
Colin de la Higuera
ICML
2001
IEEE
14 years 7 months ago
Learning to Generate Fast Signal Processing Implementations
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
Bryan Singer, Manuela M. Veloso
ACML
2009
Springer
14 years 27 days ago
Automatic Choice of Control Measurements
Abstract. In experimental design, a standard approach for distinguishing experimentally induced effects from unwanted effects is to design control measurements that differ only ...
Gayle Leen, David R. Hardoon, Samuel Kaski