Spontaneous Coupling of Q-Learning Algorithms in Equilibrium
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- Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2020.
"Artificial Intelligence, Algorithmic Pricing, and Collusion,"
American Economic Review, American Economic Association, vol. 110(10), pages 3267-3297, October.
- Calzolari, Giacomo & Calvano, Emilio & Denicolo, Vincenzo & Pastorello, Sergio, 2018. "Artificial intelligence, algorithmic pricing and collusion," CEPR Discussion Papers 13405, C.E.P.R. Discussion Papers.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020.
"Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market,"
CESifo Working Paper Series
8521, CESifo.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," Working Paper 1438, Economics Department, Queen's University.
- Calzolari, Giacomo & Calvano, Emilio & Denicolo, Vincenzo & Pastorello, Sergio, 2021. "Algorithmic collusion with imperfect monitoring," CEPR Discussion Papers 15738, C.E.P.R. Discussion Papers.
- Martino Banchio & Andrzej Skrzypacz, 2022.
"Artificial Intelligence and Auction Design,"
NBER Chapters, in: Economics of Artificial Intelligence,
National Bureau of Economic Research, Inc.
- Martino Banchio & Andrzej Skrzypacz, 2022. "Artificial Intelligence and Auction Design," Papers 2202.05947, arXiv.org.
- Matthias Hettich, 2021. "Algorithmic Collusion: Insights from Deep Learning," CQE Working Papers 9421, Center for Quantitative Economics (CQE), University of Muenster.
- Maskin, Eric & Tirole, Jean, 1988. "A Theory of Dynamic Oligopoly, II: Price Competition, Kinked Demand Curves, and Edgeworth Cycles," Econometrica, Econometric Society, vol. 56(3), pages 571-599, May.
- Johnson, Justin Pappas & Rhodes, Andrew & Wildenbeest, Matthijs, 2020.
"Platform Design when Sellers Use Pricing Algorithms,"
TSE Working Papers
20-1146, Toulouse School of Economics (TSE).
- Rhodes, Andrew & Johnson, Justin & Wildenbeest, Matthijs, 2020. "Platform Design When Sellers Use Pricing Algorithms," CEPR Discussion Papers 15504, C.E.P.R. Discussion Papers.
- Harrington, Joseph E. , Jr., 2017. "The Theory of Collusion and Competition Policy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262036932, December.
- Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2019. "Algorithmic Pricing What Implications for Competition Policy?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 155-171, August.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2024-01-22 (Computational Economics)
- NEP-GTH-2024-01-22 (Game Theory)
- NEP-MIC-2024-01-22 (Microeconomics)
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