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Reinforcement Learning in Repeated Interaction Games

Citations

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Cited by:

  1. 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.
  2. 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.
  3. 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.
  4. Dey, Oindrila & Chakravarty, Debalina, 2020. "Electric Street Car as a Clean Public Transport Alternative: A Choice Experiment Approach," MPRA Paper 101000, University Library of Munich, Germany, revised Apr 2020.
  5. 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).
  6. 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.
  7. Guney, Begum & Richter, Michael, 2015. "An experiment on aspiration-based choice," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 512-526.
  8. 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.
  9. 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.
  10. Martorana, Marco F. & Mazza, Isidoro, 2012. "Adaptive voting: an empirical analysis of participation and choice," MPRA Paper 36165, University Library of Munich, Germany.
  11. Napel, Stefan, 2003. "Aspiration adaptation in the ultimatum minigame," Games and Economic Behavior, Elsevier, vol. 43(1), pages 86-106, April.
  12. 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.
  13. 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.
  14. Martorana, Marco & Mazza, Isidoro, 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.
  15. 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.
  16. Rajiv Sarin & Hyun Chang Yi, 2020. "A Model of Satisficing Behaviour," Working Papers 2020-21, Economic Research Institute, Bank of Korea.
  17. 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.
  18. Cho, In-Koo & Matsui, Akihiko, 2005. "Learning aspiration in repeated games," Journal of Economic Theory, Elsevier, vol. 124(2), pages 171-201, October.
  19. Takahiro Ezaki & Naoki Masuda, 2017. "Reinforcement learning account of network reciprocity," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-8, December.
  20. Akihiko Matsui & In-Koo Cho, 2008. "Matching, Repeated Game and Aspiration," 2008 Meeting Papers 75, Society for Economic Dynamics.
  21. Dziubinski, Marcin & Roy, Jaideep, 2007. "Endogenous selection of aspiring and rational rules in coordination games," MPRA Paper 5941, University Library of Munich, Germany.
  22. 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.
  23. 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.
  24. Akihiko Matsui & In-Koo Cho, 2010. "Aspiration, Sympathy and Minmax Outcome," 2010 Meeting Papers 57, Society for Economic Dynamics.
  25. 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.
  26. Dean P Foster & Peyton Young, 2006. "Regret Testing Leads to Nash Equilibrium," Levine's Working Paper Archive 784828000000000676, David K. Levine.
  27. 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.
  28. 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.
  29. 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.
  30. E. J. Anderson & T. D. H. Cau, 2009. "Modeling Implicit Collusion Using Coevolution," Operations Research, INFORMS, vol. 57(2), pages 439-455, April.
  31. 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.
  32. 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).
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