@inproceedings{150855a55186496194aed17f8f38fe13,
title = "Distributed learning of wardrop equilibria",
abstract = "We consider the problem of learning equilibria in a well known game theoretic traffic model due to Wardrop. We consider a distributed learning algorithm that we prove to converge to equilibria. The proof of convergence is based on a differential equation governing the global macroscopic evolution of the system, inferred from the local microscopic evolutions of agents. We prove that the differential equation converges with the help of Lyapunov techniques.",
author = "Dominique Barth and Olivier Bournez and Octave Boussaton and Johanne Cohen",
year = "2008",
month = jan,
day = "1",
doi = "10.1007/978-3-540-85194-3\_5",
language = "English",
isbn = "3540851933",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "19--32",
booktitle = "Unconventional Computation - 7th International Conference, UC 2008, Proceedings",
note = "7th International Conference on Unconventional Computation, UC 2008 ; Conference date: 25-08-2008 Through 28-08-2008",
}