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How hard is for agents to learn the user equilibrium? Characterizing traffic networks by means of entropy - MaRDI portal

How hard is for agents to learn the user equilibrium? Characterizing traffic networks by means of entropy

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Publication:6497536

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DOI10.1142/s0219525920500113MaRDI QIDQ6497536

Ana L. C. Bazzan, Camil S. Z. Redwan

Publication date: 6 May 2024

Published in: Advances in Complex Systems (Search for Journal in Brave)

zbMATH Keywords

entropy traffic assignment multiagent reinforcement learning

Mathematics Subject Classification ID

Game theory, economics, finance, and other social and behavioral sciences (91-XX)

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