The price of anarchy as a classifier for mechanism design in a Pareto-Bayesian-Nash context

DOI10.3934/jimo.2022236OpenAlexW4312855573MaRDI QIDQ2698591

Julio B. Clempner, Alexander S. Poznyak

Publication date: 24 April 2023

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2022236

zbMATH Keywords

Paretoregularizationprice of anarchyprice of stabilityBayesian Markov decision process

Mathematics Subject Classification ID

Computational methods for problems pertaining to game theory, economics, and finance (91-08) Signaling and communication in game theory (91A28)

Related Items (1)

A Bayesian reinforcement learning approach in Markov games for computing near-optimal policies

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