Routing games, information and learning

Giordano, Francesco (A.A. 2021/2022) Routing games, information and learning. Tesi di Laurea in Mathematical statistics, Luiss Guido Carli, relatore Marco Scarsini, pp. 73. [Master's Degree Thesis]

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Abstract/Index

Literature review. Deterministic routing games. Non-atomic routing games. Congestion games and potential games. Equilibria and optimality. Price of anarchy. Atomic routing games and convergence results. Routing games under uncertainty. Introducing uncertainty. Dynamic routing games with unknown network state. Private information. Social learning in non-atomic routing games. Some structural properties. Learning failures. Learning in capacity constrained networks. Learning in networks with infinite capacities.

References

Bibliografia: pp. 44-48.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Economics and Finance (LM-56)
Outstanding Thesis: Department of Economics and Finance
Chair: Mathematical statistics
Thesis Supervisor: Scarsini, Marco
Thesis Co-Supervisor: Antonelli, Fabio
Academic Year: 2021/2022
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 04 Oct 2022 09:17
Last Modified: 16 May 2023 10:35
URI: https://tesi.luiss.it/id/eprint/33531

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