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Reinforcement Learning in Repeated Interaction Games

Citations

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Cited by:

  1. Heinrich H. Nax, 2016. "When is Market the Benchmark? Reinforcement Evidence from Repurchase Decisions," Economics Series Working Papers 781, University of Oxford, Department of Economics.
  2. Cho, In-Koo & Matsui, Akihiko, 2005. "Learning aspiration in repeated games," Journal of Economic Theory, Elsevier, vol. 124(2), pages 171-201, October.
  3. Takahiro Ezaki & Naoki Masuda, 2017. "Reinforcement learning account of network reciprocity," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-8, December.
  4. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011, Elsevier.
  5. Li, Cong & Xu, Hedong & Fan, Suohai, 2020. "Synergistic effects of self-optimization and imitation rules on the evolution of cooperation in the investor sharing game," Applied Mathematics and Computation, Elsevier, vol. 370(C).
  6. Ran Spiegler, 2025. "Machine-Learning to Trust," Papers 2507.10363, arXiv.org, revised Nov 2025.
  7. Martorana, Marco F. & Mazza, Isidoro, 2012. "Adaptive voting: an empirical analysis of participation and choice," MPRA Paper 36165, University Library of Munich, Germany.
  8. Dziubiński, Marcin & Roy, Jaideep, 2012. "Popularity of reinforcement-based and belief-based learning models: An evolutionary approach," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 433-454.
  9. Jeffrey Carpenter & Peter Matthews, 2005. "No Switchbacks: Rethinking Aspiration-Based Dynamics in the Ultimatum Game," Theory and Decision, Springer, vol. 58(4), pages 351-385, June.
  10. Marco Martorana & Isidoro Mazza, 2010. "Satisfaction and adaptation in voting behavior: an empirical exploration," DEMQ Working Paper Series 2010/6, University of Catania, Department of Economics and Quantitative Methods.
  11. Segismundo S. Izquierdo & Luis R. Izquierdo & Nicholas M. Gotts, 2008. "Reinforcement Learning Dynamics in Social Dilemmas," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-1.
  12. Akihiko Matsui & In-Koo Cho, 2010. "Aspiration, Sympathy and Minmax Outcome," 2010 Meeting Papers 57, Society for Economic Dynamics.
  13. Izquierdo, Luis R. & Izquierdo, Segismundo S. & Gotts, Nicholas M. & Polhill, J. Gary, 2007. "Transient and asymptotic dynamics of reinforcement learning in games," Games and Economic Behavior, Elsevier, vol. 61(2), pages 259-276, November.
  14. Kosec, Katrina & Mo, Cecilia Hyunjung, 2017. "Aspirations and the Role of Social Protection: Evidence from a Natural Disaster in Rural Pakistan," World Development, Elsevier, vol. 97(C), pages 49-66.
  15. In-Koo Cho & Akihiko Matsui, 2012. "A Dynamic Foundation of the Rawlsian Maxmin Criterion," Dynamic Games and Applications, Springer, vol. 2(1), pages 51-70, March.
  16. E. J. Anderson & T. D. H. Cau, 2009. "Modeling Implicit Collusion Using Coevolution," Operations Research, INFORMS, vol. 57(2), pages 439-455, April.
  17. Oindrila Dey & Debalina Chakravarty, 2020. "Electric Street Car as a Clean Public Transport Alternative: A Choice Experiment Approach," Working Papers 2042, Indian Institute of Foreign Trade.
  18. Sung-youn Kim, 2012. "A model of political information-processing and learning cooperation in the repeated Prisoner’s Dilemma," Journal of Theoretical Politics, , vol. 24(1), pages 46-65, January.
  19. Takahiro Ezaki & Yutaka Horita & Masanori Takezawa & Naoki Masuda, 2016. "Reinforcement Learning Explains Conditional Cooperation and Its Moody Cousin," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-13, July.
  20. MacLeod, W. Bentley & Pingle, Mark, 2005. "Aspiration uncertainty: its impact on decision performance and process," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 617-629, April.
  21. Marcin Dziubinski & Jaideep Roy, 2007. "Endogenous Selection of Aspiring and Rational rules in Coordination Games," CEDI Discussion Paper Series 07-14, Centre for Economic Development and Institutions(CEDI), Brunel University.
  22. Yu Zhang & Jason Leezer, 2010. "Simulating human-like decisions in a memory-based agent model," Computational and Mathematical Organization Theory, Springer, vol. 16(4), pages 373-399, December.
  23. Heymann, D. & Kawamura, E. & Perazzo, R. & Zimmermann, M.G., 2014. "Behavioral heuristics and market patterns in a Bertrand–Edgeworth game," Journal of Economic Behavior & Organization, Elsevier, vol. 105(C), pages 124-139.
  24. Guney, Begum & Richter, Michael, 2015. "An experiment on aspiration-based choice," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 512-526.
  25. Napel, Stefan, 2003. "Aspiration adaptation in the ultimatum minigame," Games and Economic Behavior, Elsevier, vol. 43(1), pages 86-106, April.
  26. Rajiv Sarin & Hyun Chang Yi, 2020. "A Model of Satisficing Behaviour," Working Papers 2020-21, Economic Research Institute, Bank of Korea.
  27. Akihiko Matsui & In-Koo Cho, 2008. "Matching, Repeated Game and Aspiration," 2008 Meeting Papers 75, Society for Economic Dynamics.
  28. Siegfried Berninghaus & Werner Güth & M. Vittoria Levati & Jianying Qiu, 2006. "Satisficing in sales competition: experimental evidence," Papers on Strategic Interaction 2006-32, Max Planck Institute of Economics, Strategic Interaction Group.
  29. Torsten Heinrich & Claudius Gräbner, 2019. "Beyond equilibrium: revisiting two-sided markets from an agent-based modelling perspective," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 9(3), pages 153-180.
  30. He, Zhongzhi (Lawrence), 2023. "A Gradient-based reinforcement learning model of market equilibration," Journal of Economic Dynamics and Control, Elsevier, vol. 152(C).
  31. Lekfuangfu, Warn N. & Odermatt, Reto, 2022. "All I have to do is dream? The role of aspirations in intergenerational mobility and well-being," European Economic Review, Elsevier, vol. 148(C).
  32. Cui Zhiwei & Zhai Jian & Liu Xuan, 2009. "The Efficiency of Observability and Mutual Linkage," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 9(1), pages 1-36, July.
  33. Dean P Foster & Peyton Young, 2006. "Regret Testing Leads to Nash Equilibrium," Levine's Working Paper Archive 784828000000000676, David K. Levine.
  34. Huw Dixon, 2020. "Almost‐Maximization as a Behavioral Theory of the Firm: Static, Dynamic and Evolutionary Perspectives," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 237-258, March.
  35. Joao Pedro Azevedo & Marta Favara & Sarah E. Haddock & Luis F. Lopez-Calva & Miriam Muller & Elizaveta Perova, 2012. "Teenage Pregnancy and Opportunities in Latin America and the Caribbean : On Teenage Fertility Decisions, Poverty and Economic Achievement [Embarazo adolescente y oportunidades en América Latina y e," World Bank Publications - Reports 16978, The World Bank Group.
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