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Autonomous algorithmic collusion: Q‐learning under sequential pricing

Citations

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Cited by:

  1. Buchali, Katrin & Grüb, Jens & Muijs, Matthias & Schwalbe, Ulrich, 2023. "Strategic Choice of Price-Setting Algorithms," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277695, Verein für Socialpolitik / German Economic Association.
  2. Abada, Ibrahim & Lambin, Xavier & Tchakarov, Nikolay, 2024. "Collusion by mistake: Does algorithmic sophistication drive supra-competitive profits?," European Journal of Operational Research, Elsevier, vol. 318(3), pages 927-953.
  3. Jason D. Hartline & Sheng Long & Chenhao Zhang, 2024. "Regulation of Algorithmic Collusion," Papers 2401.15794, arXiv.org, revised Sep 2024.
  4. Calvano, Emilio & Calzolari, Giacomo & Denicolò, Vincenzo & Pastorello, Sergio, 2023. "Algorithmic collusion: Genuine or spurious?," International Journal of Industrial Organization, Elsevier, vol. 90(C).
  5. Martin, Simon & Rasch, Alexander, 2024. "Demand forecasting, signal precision, and collusion with hidden actions," International Journal of Industrial Organization, Elsevier, vol. 92(C).
  6. Herings, P.J.J. & Michaelides, Philippos & Seel, Christian, 2026. "Algorithmic Learning in Local and Global Public Goods Games," Other publications TiSEM 39b1b9f1-e6d6-4b83-9330-b, Tilburg University, School of Economics and Management.
  7. Zexin Ye, 2025. "Algorithmic Collusion under Observed Demand Shocks," Papers 2502.15084, arXiv.org, revised Dec 2025.
  8. Lambin, Xavier & Raizonville, Adrien, 2025. "From black box to glass box: algorithmic explainability as a strategic decision," Information Economics and Policy, Elsevier, vol. 71(C).
  9. Buchali, Katrin & Grüb, Jens & Muijs, Matthias & Schwalbe, Ulrich, 2023. "Strategic choice of price-setting algorithms," Hohenheim Discussion Papers in Business, Economics and Social Sciences 01-2023, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  10. Arnoud V. den Boer & Janusz M. Meylahn & Maarten Pieter Schinkel, 2022. "Artificial Collusion: Examining Supracompetitive Pricing by Q-learning Algorithms," Tinbergen Institute Discussion Papers 22-067/VII, Tinbergen Institute.
  11. Martino Banchio & Andrzej Skrzypacz, 2022. "Artificial Intelligence and Auction Design," NBER Chapters, in: Economics of Artificial Intelligence, National Bureau of Economic Research, Inc.
  12. Bingyan Han, 2022. "Can maker-taker fees prevent algorithmic cooperation in market making?," Papers 2211.00496, arXiv.org.
  13. Gonzalo Ballestero, 2022. "Collusion and Artificial Intelligence: A Computational Experiment with Sequential Pricing Algorithms under Stochastic Costs," Working Papers 118, Red Nacional de Investigadores en Economía (RedNIE).
  14. Martin, Simon & Rasch, Alexander, 2022. "Collusion by algorithm: The role of unobserved actions," DICE Discussion Papers 382, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  15. Xingchen Xu & Stephanie Lee & Yong Tan, 2023. "Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems," Papers 2309.14548, arXiv.org, revised Dec 2024.
  16. Esmaeili Aliabadi, Danial & Chan, Katrina, 2022. "The emerging threat of artificial intelligence on competition in liberalized electricity markets: A deep Q-network approach," Applied Energy, Elsevier, vol. 325(C).
  17. Zhang Xu & Mingsheng Zhang & Wei Zhao, 2024. "Artificial Intelligence, Data and Competition," Papers 2403.06150, arXiv.org, revised Dec 2025.
  18. Fourberg, Niklas & Marques-Magalhaes, Katrin & Wiewiorra, Lukas, 2022. "They are among us: Pricing behavior of algorithms in the field," WIK Working Papers 6, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef.
  19. Ibrahim Abada & Xavier Lambin, 2023. "Artificial Intelligence: Can Seemingly Collusive Outcomes Be Avoided?," Management Science, INFORMS, vol. 69(9), pages 5042-5065, September.
  20. Colombo, Stefano & Filippini, Luigi & Pignataro, Aldo, 2024. "Information sharing, personalized pricing, and collusion," Information Economics and Policy, Elsevier, vol. 66(C).
  21. Gonzalo Ballestero, 2021. "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Young Researchers Working Papers 1, Universidad de San Andres, Departamento de Economia, revised Oct 2022.
  22. J. Manuel Sanchez-Cartas & Evangelos Katsamakas, 2025. "AI pricing algorithms under platform competition," Electronic Commerce Research, Springer, vol. 25(6), pages 4343-4370, December.
  23. Pastushkov, Aleksei & Boulatov, Alexei, 2025. "Pseudo-collusion in a centralized algorithmic financial market," Finance Research Letters, Elsevier, vol. 83(C).
  24. Hangcheng Zhao & Ron Berman, 2025. "Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms," Papers 2508.08325, arXiv.org, revised Oct 2025.
  25. Jason Hartline, 2026. "The Economics of No-regret Learning Algorithms," Papers 2601.22079, arXiv.org.
  26. Herbert Dawid & Philipp Harting & Michal Neugart, 2024. "Deep Q-learning of Prices in Oligopolies: The Number of Competitors Matters," GREDEG Working Papers 2024-32, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  27. Joseph E. Harrington, 2022. "The Effect of Outsourcing Pricing Algorithms on Market Competition," Management Science, INFORMS, vol. 68(9), pages 6889-6906, September.
  28. Shengyu Cao & Ming Hu, 2026. "Collusive Pricing Under LLM," Papers 2601.01279, arXiv.org, revised Mar 2026.
  29. Normann, Hans-Theo & Sternberg, Martin, 2023. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," European Economic Review, Elsevier, vol. 152(C).
  30. Hanspach, Philip & Sapi, Geza & Wieting, Marcel, 2024. "Algorithms in the marketplace: An empirical analysis of automated pricing in e-commerce," Information Economics and Policy, Elsevier, vol. 69(C).
  31. Justin P. Johnson & Andrew Rhodes & Matthijs Wildenbeest, 2023. "Platform Design When Sellers Use Pricing Algorithms," Econometrica, Econometric Society, vol. 91(5), pages 1841-1879, September.
  32. Cofre, Nicolas & Mosionek-Schweda, Magdalena, 2024. "A simulated electronic market with speculative behaviour and bubble formation," Finance Research Letters, Elsevier, vol. 67(PA).
  33. Shidi Deng & Maximilian Schiffer & Martin Bichler, 2024. "Algorithmic Collusion in Dynamic Pricing with Deep Reinforcement Learning," Papers 2406.02437, arXiv.org.
  34. Leonardo Madio & Aldo Pignataro, 2022. "Collusion Sustainability with a Capacity Constrained Firm," CESifo Working Paper Series 10170, CESifo.
  35. Fourberg, Niklas & Marques Magalhaes, Katrin & Wiewiorra, Lukas, 2023. "They Are Among Us: Pricing Behavior of Algorithms in the Field," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277958, International Telecommunications Society (ITS).
  36. Liying Qiu & Yan Huang & Param Vir Singh & Kannan Srinivasan, 2025. "Personalization, Consumer Search, and Algorithmic Pricing," Marketing Science, INFORMS, vol. 44(6), pages 1278-1298, November.
  37. Gonzalo Ballestero, 2021. "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Asociación Argentina de Economía Política: Working Papers 4433, Asociación Argentina de Economía Política.
  38. Aldasoro, I. & Gambacorta, L. & Korinek, A. & Shreeti, V. & Stein, M., 2025. "Intelligent financial system: How AI is transforming finance," Journal of Financial Stability, Elsevier, vol. 81(C).
  39. Antonio Cozzolino & Cristina Gualdani & Ivan Gufler & Niccolò Lomys & Lorenzo Magnolfi, 2025. "Robust Identification in Repeated Games: An Empirical Approach to Algorithmic Competition," Working Papers 25-04, NET Institute.
  40. Kaede Hanazawa, 2025. "Welfare Effects of Self-Preferencing by a Platform: Empirical Evidence from Airbnb," Papers 2503.04489, arXiv.org.
  41. Qian Qi, 2023. "Artificial Intelligence and Dual Contract," Papers 2303.12350, arXiv.org, revised Jun 2024.
  42. Shidi Deng & Maximilian Schiffer & Martin Bichler, 2025. "Exploring Competitive and Collusive Behaviors in Algorithmic Pricing with Deep Reinforcement Learning," Papers 2503.11270, arXiv.org.
  43. Eshwar Ram Arunachaleswaran & Natalie Collina & Sampath Kannan & Aaron Roth & Juba Ziani, 2024. "Algorithmic Collusion Without Threats," Papers 2409.03956, arXiv.org, revised Dec 2024.
  44. Sara Fish & Yannai A. Gonczarowski & Ran I. Shorrer, 2024. "Algorithmic Collusion by Large Language Models," Papers 2404.00806, arXiv.org, revised Mar 2026.
  45. Leonardo Madio & Aldo Pignataro, 2022. "Collusion sustainability with a capacity constrained firm," "Marco Fanno" Working Papers 0295, Dipartimento di Scienze Economiche "Marco Fanno".
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