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Algorithmic Learning in Local and Global Public Goods Games

Author

Listed:
  • Herings, P.J.J.

    (Tilburg University, Center For Economic Research)

  • Michaelides, Philippos
  • Seel, Christian

Abstract

No abstract is available for this item.

Suggested Citation

  • Herings, P.J.J. & Michaelides, Philippos & Seel, Christian, 2026. "Algorithmic Learning in Local and Global Public Goods Games," Discussion Paper 2026-002, Tilburg University, Center for Economic Research.
    • Handle: RePEc:tiu:tiucen:39b1b9f1-e6d6-4b83-9330-bc8d1dc06632
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    References listed on IDEAS

    as
    1. Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2024. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 723-771.
    2. 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.
    3. Timo Klein, 2021. "Autonomous algorithmic collusion: Q‐learning under sequential pricing," RAND Journal of Economics, RAND Corporation, vol. 52(3), pages 538-558, September.
    4. Waltman, Ludo & Kaymak, Uzay, 2008. "Q-learning agents in a Cournot oligopoly model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3275-3293, October.
    5. Monderer, Dov & Shapley, Lloyd S., 1996. "Fictitious Play Property for Games with Identical Interests," Journal of Economic Theory, Elsevier, vol. 68(1), pages 258-265, January.
    Full references (including those not matched with items on IDEAS)

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