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ATAL
2010
Springer
15 years 6 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
IPPS
2006
IEEE
15 years 11 months ago
Algorithmic models for sensor networks
Developing algorithms for sensor networks—and proving their correctness and performance—, requires simplifying but still realistic models. This paper surveys various models in...
Stefan Schmid, Roger Wattenhofer
DAPSYS
2004
Springer
15 years 10 months ago
Analysis of the Multi-Phase Copying Garbage Collection Algorithm
The multi-phase copying garbage collection was designed to avoid the need for large amount of reserved memory usually required for the copying types of garbage collection algorithm...
Norbert Podhorszki
PPSN
2004
Springer
15 years 10 months ago
Optimising the Performance of a Formula One Car Using a Genetic Algorithm
Formula One motor racing is a rich sport that spends millions on research and development of highly optimized cars. Here we describe the use of a genetic algorithm to optimize 66 s...
Krzysztof Wloch, Peter J. Bentley
PODC
1987
ACM
15 years 8 months ago
Hierarchical Correctness Proofs for Distributed Algorithms
Abstract: We introduce the input-output automaton, a simple but powerful model of computation in asynchronous distributed networks. With this model we are able to construct modular...
Nancy A. Lynch, Mark R. Tuttle