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A payoff-based learning procedure and its application to traffic games

Citations

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Cited by:

  1. Khai Chiong & Alfred Galichon & Matt Shum, 2015. "Duality in Dynamic Discrete Choice Models," Sciences Po Economics Publications (main) hal-03568184, HAL.
  2. Philippe Jehiel & Aviman Satpathy, 2024. "Coarse Q-learning: Indifference, Indeterminacy, and Instability," Papers 2412.09321, arXiv.org, revised May 2026.
  3. Bravo, Mario & Mertikopoulos, Panayotis, 2017. "On the robustness of learning in games with stochastically perturbed payoff observations," Games and Economic Behavior, Elsevier, vol. 103(C), pages 41-66.
  4. Naoki Funai, 2019. "Convergence results on stochastic adaptive learning," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 68(4), pages 907-934, November.
  5. Manxi Wu & Saurabh Amin & Asuman Ozdaglar, 2021. "Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability," Papers 2109.00719, arXiv.org.
  6. Jakub Bielawski & Thiparat Chotibut & Fryderyk Falniowski & Michal Misiurewicz & Georgios Piliouras, 2022. "Unpredictable dynamics in congestion games: memory loss can prevent chaos," Papers 2201.10992, arXiv.org, revised Jan 2022.
  7. Naoki Funai, 2013. "An Adaptive Learning Model in Coordination Games," Games, MDPI, vol. 4(4), pages 1-22, November.
  8. Roy Allen & John Rehbeck, 2021. "A Generalization of Quantal Response Equilibrium via Perturbed Utility," Games, MDPI, vol. 12(1), pages 1-16, March.
  9. Khai Chiong & Alfred Galichon & Matt Shum, 2015. "Duality in Dynamic Discrete Choice Models," Post-Print hal-03568184, HAL.
  10. Funai, Naoki, 2025. "Stochastic adaptive learning with committed players in games with strict Nash equilibria," Games and Economic Behavior, Elsevier, vol. 154(C), pages 351-376.
  11. Erhao Xie, 2019. "Monetary Payoff and Utility Function in Adaptive Learning Models," Staff Working Papers 19-50, Bank of Canada.
  12. Emerson Melo, 2022. "On the uniqueness of quantal response equilibria and its application to network games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 681-725, October.
  13. Farokhi, Farhad & Johansson, Karl H., 2015. "A piecewise-constant congestion taxing policy for repeated routing games," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 123-143.
  14. Ger Yang & David Basanta & Georgios Piliouras, 2018. "Bifurcation Mechanism Design—From Optimal Flat Taxes to Better Cancer Treatments," Games, MDPI, vol. 9(2), pages 1-38, April.
  15. Manxi Wu & Saurabh Amin, 2019. "Securing Infrastructure Facilities: When Does Proactive Defense Help?," Dynamic Games and Applications, Springer, vol. 9(4), pages 984-1025, December.
  16. Funai, Naoki, 2022. "Reinforcement learning with foregone payoff information in normal form games," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 638-660.
  17. Williams, Noah, 2022. "Learning and equilibrium transitions: Stochastic stability in discounted stochastic fictitious play," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).
  18. Khai Chiong & Alfred Galichon & Matt Shum, 2015. "Duality in Dynamic Discrete Choice Models," SciencePo Working papers hal-03568184, HAL.
  19. Mario Bravo, 2016. "An Adjusted Payoff-Based Procedure for Normal Form Games," Mathematics of Operations Research, INFORMS, vol. 41(4), pages 1469-1483, November.
  20. repec:spo:wpmain:info:hdl:2441/7svo6civd6959qvmn4965cth1d is not listed on IDEAS
  21. Panayotis Mertikopoulos & William H. Sandholm, 2016. "Learning in Games via Reinforcement and Regularization," Mathematics of Operations Research, INFORMS, vol. 41(4), pages 1297-1324, November.
  22. Benoit Duvocelle & Panayotis Mertikopoulos & Mathias Staudigl & Dries Vermeulen, 2023. "Multiagent Online Learning in Time-Varying Games," Mathematics of Operations Research, INFORMS, vol. 48(2), pages 914-941, May.
  23. Xie, Erhao, 2021. "Empirical properties and identification of adaptive learning models in behavioral game theory," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 798-821.
  24. van de Klundert, Joris & Cominetti, Roberto & Liu, Yun & Kong, Qingxia, 2024. "The interdependence between hospital choice and waiting time — with a case study in urban China," Journal of choice modelling, Elsevier, vol. 52(C).
  25. Khai Xiang Chiong & Alfred Galichon & Matt Shum, 2021. "Duality in dynamic discrete-choice models," Papers 2102.06076, arXiv.org, revised Feb 2021.
  26. Funai Naoki, 2014. "An Adaptive Learning Model with Foregone Payoff Information," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 14(1), pages 149-176, January.
  27. Manxi Wu & Saurabh Amin & Asuman Ozdaglar, 2025. "Convergence and Stability of Coupled Belief-Strategy Learning Dynamics in Continuous Games," Mathematics of Operations Research, INFORMS, vol. 50(1), pages 459-481, February.
  28. Alfredo Garcia & Mingyi Hong & Jorge Barrera, 2012. "“Cap and Trade” for Congestion Control," Dynamic Games and Applications, Springer, vol. 2(3), pages 280-293, September.
  29. Pierre Coucheney & Bruno Gaujal & Panayotis Mertikopoulos, 2015. "Penalty-Regulated Dynamics and Robust Learning Procedures in Games," Mathematics of Operations Research, INFORMS, vol. 40(3), pages 611-633, March.
  30. Boyer, Sebastien & Blandin, Sebastien & Wynter, Laura, 2015. "Stability of transportation networks under adaptive routing policies," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 886-903.
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