Titlebook: Web and Internet Economics; 15th International C Ioannis Caragiannis,Vahab Mirrokni,Evdokia Nikolov Conference proceedings 2019 Springer Na

施舍

擔憂

0302-9743 k of researchers in theoretical computer science, artificial intelligence, and microeconomics who have joined forces to tackle problems at the intersection of computation, game theory and economics.978-3-030-35388-9978-3-030-35389-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

aggravate

Mix and Match: Markov Chains and Mixing Times for Matching in Ridesharebounds characterize convergence rates—even when the necessary theoretical assumptions are relaxed. Additionally these policies compare well against a standard reinforcement learning algorithm which optimizes for profit without any convergence properties.

chuckle

Dawdle

Topological Price of Anarchy Bounds for Clustering Games on Networksarchy bounds. As one of our main results, we derive (tight) bounds on the Price of Anarchy for clustering games on Erd?s-Rényi random graphs, which, depending on the graph density, stand in stark contrast to the known Price of Anarchy bounds.

CHAFE

不妥協(xié)

Awareness of Voter Passion Greatly Improves the Distortion of Metric Social Choicea candidate minimizing social cost: the total distance of the voters to this candidate. Previous work has often assumed that only the ordinal preferences of the voters are known (instead of their true costs), and focused on minimizing distortion: the quality of the chosen candidate as compared to th

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諂媚于性