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Conference Papers Year : 2008

Distributed Learning of Wardrop Equilibria


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.
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inria-00308002 , version 1 (29-07-2008)


  • HAL Id : inria-00308002 , version 1


Dominique Barth, Olivier Bournez, Octave Boussaton, Johanne Cohen. Distributed Learning of Wardrop Equilibria. 7th International Conference on Unconventional Computation - UC 2008), Aug 2008, Vienne, Austria. pp.19--32. ⟨inria-00308002⟩
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