Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria

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1. Elmaghraby, Wedad J. & Larson, Nathan, 2012. "Explaining deviations from equilibrium in auctions with avoidable fixed costs," Games and Economic Behavior, Elsevier, vol. 76(1), pages 131-159.
2. Sarin, Rajiv & Vahid, Farshid, 2001. "Predicting How People Play Games: A Simple Dynamic Model of Choice," Games and Economic Behavior, Elsevier, vol. 34(1), pages 104-122, January.
   • Sarin, R. & Vahid, F., 1999. "Predicting how People Play Games: a Simple Dynamic Model of Choice," Monash Econometrics and Business Statistics Working Papers 12/99, Monash University, Department of Econometrics and Business Statistics.
3. Ulrich Doraszelski & Gregory Lewis & Ariel Pakes, 2018. "Just Starting Out: Learning and Equilibrium in a New Market," American Economic Review, American Economic Association, vol. 108(3), pages 565-615, March.
   • Ulrich Doraszelski & Gregory Lewis & Ariel Pakes, 2016. "Just Starting Out: Learning and Equilibrium in a New Market," NBER Working Papers 21996, National Bureau of Economic Research, Inc.
4. Dixon, Huw D. & Sbriglia, Patrizia & Somma, Ernesto, 2006. "Learning to collude: An experiment in convergence and equilibrium selection in oligopoly," Research in Economics, Elsevier, vol. 60(3), pages 155-167, September.
5. Siegfried K. Berninghaus & Thomas Neumann & Bodo Vogt, 2014. "Learning in Networks—An Experimental Study Using Stationary Concepts," Games, MDPI, vol. 5(3), pages 1-20, July.
   • Berninghaus, Siegfried K. & Neumann, Thomas & Vogt, Bodo, 2011. "Learning in networks: An experimental study using stationary concepts," Working Paper Series in Economics 15, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
   • Siegried K. Berninghaus & Thomas Neumann & Bodo Vogt, 2011. "Learning in Networks - An Experimental Study using Stationary Concepts," Jena Economics Research Papers 2011-048, Friedrich-Schiller-University Jena.
6. Baddeley, M., 2011. "A Behavioural Analysis of Online Privacy and Security," Cambridge Working Papers in Economics 1147, Faculty of Economics, University of Cambridge.
7. Anna Gunnthorsdottir & Amnon Rapoport, 2003. "The effect of sharing rules on group competition," Experimental 0307003, University Library of Munich, Germany.
8. Andreas Nicklisch, 2006. "Perceiving strategic environments: An experimental study of learning under minimal information," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2006_17, Max Planck Institute for Research on Collective Goods.
9. Zhang, Yang & Du, Xiaomin, 2017. "Network effects on strategic interactions: A laboratory approach," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 133-146.
10. Schuster, Stephan, 2009. "An Algorithm for the Simulation of Bounded Rational Agents," MPRA Paper 15942, University Library of Munich, Germany.
11. Gary Charness & Dan Levin, 2003. "Bayesian Updating vs. Reinforcement and Affect: A Laboratory Study," Levine's Bibliography 666156000000000180, UCLA Department of Economics.
12. Haruvy, Ernan & Roth, Alvin E. & Unver, M. Utku, 2006. "The dynamics of law clerk matching: An experimental and computational investigation of proposals for reform of the market," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 457-486, March.
    • Ernan Haruvy & Alvin E. Roth & M. Utku Unver, 2004. "The Dynamics of Law Clerk Matching: An Experimental and Computational Investigation of Proposals for Reform of the Market," Experimental 0404001, University Library of Munich, Germany.
13. Nicolosi, Gina & Peng, Liang & Zhu, Ning, 2009. "Do individual investors learn from their trading experience?," Journal of Financial Markets, Elsevier, vol. 12(2), pages 317-336, May.
    • Gina Nicolosi & Liang Peng & Ning Zhu, 2003. "Do Individual Investors Learn from Their Trading Experience?," Yale School of Management Working Papers ysm439, Yale School of Management, revised 01 Sep 2009.
    • Gina Nicolosi & Liang Peng, 2004. "Do individual investors learn from their trading experience," Econometric Society 2004 North American Summer Meetings 532, Econometric Society.
14. Novarese, Marco & Lanteri, Alessandro & Tibaldeschi, Cesare, 2010. "Learning, Generalization and the Perception of Information: an Experimental Study," MPRA Paper 28007, University Library of Munich, Germany.
15. Apesteguia, Jose & Huck, Steffen & Oechssler, Jorg, 2007. "Imitation--theory and experimental evidence," Journal of Economic Theory, Elsevier, vol. 136(1), pages 217-235, September.
    • Jose Alpesteguia & Steffen Huck & Jörg Oechssler, 2003. "Imitation - Theory and Experimental Evidence," CESifo Working Paper Series 1049, CESifo.
    • Jose Apesteguia & Steffen Huck & Jorg Oechssler, 2004. "Imitation - Theory and Experimental Evidence," Levine's Bibliography 122247000000000132, UCLA Department of Economics.
    • Apesteguia, José & Huck, Steffen & Oechssler, Jörg, 2003. "Imitation - Theory and Experimental Evidence," Bonn Econ Discussion Papers 20/2003, University of Bonn, Bonn Graduate School of Economics (BGSE).
    • Apestgeguia, Jose & Huck, Steffen & Oechssler, Jörg, 2005. "Imitation - Theory and Experimental Evidence," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 54, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    • José Apesteguía & Steffen Huck & Jorg Oechssler, 2003. "Imitation-Theory and Experimental Evidence-," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0306, Departamento de Economía - Universidad Pública de Navarra.
    • Jose Apesteguia & Steffen Huck & Jorg Oechssler, 2003. "Imitation - Theory and Experimental Evidence," Experimental 0309001, University Library of Munich, Germany.
    • Apesteguia, Jose & Huck, Steffen & Oechssler, Joerg, 2003. "Imitation - Theory and Experimental Evidence," University of California at Santa Barbara, Economics Working Paper Series qt3h0887tj, Department of Economics, UC Santa Barbara.
16. Eric Guerci & Nobuyuki Hanaki & Naoki Watanabe, 2015. "Meaningful Learning in Weighted Voting Games: An Experiment," Working Papers halshs-01216244, HAL.
17. Kuperman, Ranan, 2011. "Coping with Conflict:A Dynamic Decision Making Perspective," NEPS Working Papers 3/2011, Network of European Peace Scientists.
18. Mäs, Michael & Nax, Heinrich H., 2016. "A behavioral study of “noise” in coordination games," Journal of Economic Theory, Elsevier, vol. 162(C), pages 195-208.
19. Kirchkamp, Oliver & Nagel, Rosemarie, 2000. "Repeated Game Strategies in Local and Group Prisoner`s Dilemma," Sonderforschungsbereich 504 Publications 00-50, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    • Kirchkamp, Oliver & Nagel, Rosemarie, 2001. "Repeated game strategies in local and group prisoner's dilemma," Papers 00-50, Sonderforschungsbreich 504.
20. Todd Guilfoos & Andreas Duus Pape, 2020. "Estimating Case-Based Learning," Games, MDPI, vol. 11(3), pages 1-25, September.
21. Ashley C. Craig & Ellen Garbarino & Stephanie A. Heger & Robert Slonim, 2017. "Waiting To Give: Stated and Revealed Preferences," Management Science, INFORMS, vol. 63(11), pages 3672-3690, November.
22. Tian, Ye & Chiu, Yi-Chang & Sun, Jian, 2019. "Understanding behavioral effects of tradable mobility credit scheme: An experimental economics approach," Transport Policy, Elsevier, vol. 81(C), pages 1-11.
23. James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2009. "Reinforcement Learning and Savings Behavior," Journal of Finance, American Finance Association, vol. 64(6), pages 2515-2534, December.
    • James Choi & David Laibson & Brigitte Madrian & Andrew Metrick, 2007. "Reinforcement Learning and Savings Behavior," Yale School of Management Working Papers amz2657, Yale School of Management, revised 01 Mar 2009.
    • Metrick, Andrew & Laibson, David I. & Choi, James J. & Madrian, Brigitte, 2009. "Reinforcement Learning and Savings Behavior," Scholarly Articles 4686777, Harvard University Department of Economics.
24. Topi Miettinen, 2012. "Paying attention to payoffs in analogy-based learning," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 50(1), pages 193-222, May.
    • Miettinen, Topi, 2009. "Paying Attention to Payoffs in Analogy-Based Learning," SITE Working Paper Series 7, Stockholm School of Economics, Stockholm Institute of Transition Economics.
25. Beggs, Alan, 2022. "Reference points and learning," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    • Alan Beggs, 2015. "Reference Points and Learning," Economics Series Working Papers 767, University of Oxford, Department of Economics.
26. Noah Gans & George Knox & Rachel Croson, 2007. "Simple Models of Discrete Choice and Their Performance in Bandit Experiments," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 383-408, December.
27. Kyle Hyndman & Antoine Terracol & Jonathan Vaksmann, 2009. "Learning and sophistication in coordination games," Experimental Economics, Springer;Economic Science Association, vol. 12(4), pages 450-472, December.
    • Kyle Hydman & Antoine Terracol & Jonathan Vaksmann, 2009. "Learning and Sophistication in Coordination Games," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00607232, HAL.
    • Kyle Hydman & Antoine Terracol & Jonathan Vaksmann, 2009. "Learning and Sophistication in Coordination Games," Post-Print hal-00607232, HAL.
    • Kyle Hydman & Antoine Terracol & Jonathan Vaksmann, 2009. "Learning and Sophistication in Coordination Games," PSE-Ecole d'économie de Paris (Postprint) hal-00607232, HAL.
28. Misha Perepelitsa, 2019. "RPS(1) Preferences," Papers 1901.04995, arXiv.org, revised Feb 2019.
29. Stephan Schuster, 2012. "BRA: An Algorithm for Simulating Bounded Rational Agents," Computational Economics, Springer;Society for Computational Economics, vol. 39(1), pages 51-69, January.
30. Ralph-C. Bayer & Elke Renner & Rupert Sausgruber, 2013. "Confusion and learning in the voluntary contributions game," Experimental Economics, Springer;Economic Science Association, vol. 16(4), pages 478-496, December.
    • Ralph-C Bayer & Elke Renner & Rupert Sausbruber, 2012. "Confusion and Learning in the Voluntary Contributions Game," Discussion Papers 2012-18, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
31. Iris Bohnet & Steffen Huck, 2004. "Repetition and Reputation: Implications for Trust and Trustworthiness When Institutions Change," American Economic Review, American Economic Association, vol. 94(2), pages 362-366, May.
    • Iris Bohnet & Steffen Huck, 2004. "Repetition and Reputation: Implications for Trust and Trustworthiness When Institutions Change," CREMA Working Paper Series 2004-09, Center for Research in Economics, Management and the Arts (CREMA).
32. Giovanna Devetag & Francesca Pancotto & Thomas Brenner, 2011. "The Minority Game Unpacked: Coordination and Competition in a Team-based Experiment," LEM Papers Series 2011/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    • Giovanna Devetag & Francesca Pancotto & Thomas Brenner, 2011. "The Minority Game Unpacked: Coordination and Competition in a Team-based Experiment," CEEL Working Papers 1102, Cognitive and Experimental Economics Laboratory, Department of Economics, University of Trento, Italia.
    • G. Devetag & F. Pancotto & T. Brenner, 2011. "The Minority Game Unpacked: Coordination and Competition in a Team-based Experiment," Working Papers wp770, Dipartimento Scienze Economiche, Universita' di Bologna.
33. 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.
34. Dmitry Shapiro, 2009. "The role of utility interdependence in public good experiments," International Journal of Game Theory, Springer;Game Theory Society, vol. 38(1), pages 81-106, March.
35. Linan Diao & Jörg Rieskamp, 2011. "Reinforcement Learning in Repeated Portfolio Decisions," Jena Economics Research Papers 2011-009, Friedrich-Schiller-University Jena.
36. Belianin, A., 2017. "Face to Face to Human Being: Achievements and Challenges of Behavioral Economics," Journal of the New Economic Association, New Economic Association, vol. 34(2), pages 166-175.
37. Pan, Jinrui & Shachat, Jason & Wei, Sijia, 2018. "Cognitive stress and learning Economic Order Quantity (EOQ) inventory management: An experimental investigation," MPRA Paper 93214, University Library of Munich, Germany.
    • Pan, Jinrui & Shachat, Jason & Wei, Sijia, 2018. "Cognitive stress and learning Economic Order Quantity (EOQ) inventory management: An experimental investigation," MPRA Paper 86221, University Library of Munich, Germany.
38. LeBaron, Blake, 2001. "Evolution And Time Horizons In An Agent-Based Stock Market," Macroeconomic Dynamics, Cambridge University Press, vol. 5(02), pages 225-254, April.
    • Blake LeBaron, 1999. "Evolution and Time Horizons in an Agent-Based Stock Market," Computing in Economics and Finance 1999 1342, Society for Computational Economics.
39. Mikhael Shor, 2003. "Learning to Respond: The Use of Heuristics in Dynamic Games," Game Theory and Information 0301001, University Library of Munich, Germany.
40. Atanasios Mitropoulos, 2001. "Learning Under Little Information: An Experiment on Mutual Fate Control," Game Theory and Information 0110003, University Library of Munich, Germany.
41. Ofer Azar & Michael Bar-Eli, 2011. "Do soccer players play the mixed-strategy Nash equilibrium?," Applied Economics, Taylor & Francis Journals, vol. 43(25), pages 3591-3601.
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42. Terry E. Daniel & Eyran J. Gisches & Amnon Rapoport, 2009. "Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks," American Economic Review, American Economic Association, vol. 99(5), pages 2149-2176, December.
43. Iftekhar, M. S. & Tisdell, J. G., 2018. "Learning in repeated multiple unit combinatorial auctions: An experimental study," Working Papers 267301, University of Western Australia, School of Agricultural and Resource Economics.
44. Pangallo, Marco & Sanders, James B.T. & Galla, Tobias & Farmer, J. Doyne, 2022. "Towards a taxonomy of learning dynamics in 2 × 2 games," Games and Economic Behavior, Elsevier, vol. 132(C), pages 1-21.
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45. Kosfeld, Michael & Droste, Edward & Voorneveld, Mark, 2002. "A myopic adjustment process leading to best-reply matching," Games and Economic Behavior, Elsevier, vol. 40(2), pages 270-298, August.
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46. Kets, W., 2007. "The Minority Game : An Economics Perspective," Other publications TiSEM 65d52a6a-b27d-45a9-93a7-e, Tilburg University, School of Economics and Management.
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47. Chesney, Thomas & Chuah, Swee-Hoon & Hoffmann, Robert, 2009. "Virtual world experimentation: An exploratory study," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 618-635, October.
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48. 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.
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49. Dai Zusai, 2018. "Evolutionary dynamics in heterogeneous populations: a general framework for an arbitrary type distribution," Papers 1805.04897, arXiv.org, revised May 2019.
50. Blume, A. & DeJong, D.V. & Neumann, G.R. & Savin, N.E., 1998. "Learning in Sender-Receiver Games," Working Papers 98-02, University of Iowa, Department of Economics.
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51. Albert Banal-Estañol & Augusto Rupérez Micola, 2010. "Are Agent-based Simulations Robust? The Wholesale Electricity Trading Case," Working Papers 443, Barcelona School of Economics.
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52. Bayona, Anna & Brandts, Jordi & Vives, Xavier, 2020. "Information frictions and market power: A laboratory study," Games and Economic Behavior, Elsevier, vol. 122(C), pages 354-369.
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53. Lahkar, Ratul & Seymour, Robert M., 2014. "The dynamics of generalized reinforcement learning," Journal of Economic Theory, Elsevier, vol. 151(C), pages 584-595.
54. repec:cup:judgdm:v:16:y:2021:i:2:p:267-289 is not listed on IDEAS
55. Jerzy Witold Wiśniewski & Ewelina Sokołowska & Jinghua Wu & Anna Dziadkiewicz, 2021. "Evolutionary Game Analysis of the Partners’ Behavior in the Rural E-Payment Market of China," Risks, MDPI, vol. 9(12), pages 1-14, December.
56. Ayaka Kato & Kenji Morita, 2016. "Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation," PLOS Computational Biology, Public Library of Science, vol. 12(10), pages 1-41, October.
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64. Walid Hichri, 2005. "The individual behaviour in a public goods game," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 2(1), pages 59-71, June.
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65. Gneezy, Uri & Smorodinsky, Rann, 2006. "All-pay auctions--an experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 61(2), pages 255-275, October.
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70. Stahl, Dale O., 2001. "Population rule learning in symmetric normal-form games: theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 45(1), pages 19-35, May.
71. Upravitelev, A., 2023. "Neoclassical roots of behavioral economics," Journal of the New Economic Association, New Economic Association, vol. 58(1), pages 110-140.
72. Friedman, Daniel & Huck, Steffen & Oprea, Ryan & Weidenholzer, Simon, 2015. "From imitation to collusion: Long-run learning in a low-information environment," Journal of Economic Theory, Elsevier, vol. 155(C), pages 185-205.
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73. Giovanna Devetag, 2000. "Coordination in "Critical Mass" Games: An Experimental Study," LEM Papers Series 2000/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
74. Kimbrough, Erik O. & Robalino, Nikolaus & Robson, Arthur J., 2017. "Applying “theory of mind”: Theory and experiments," Games and Economic Behavior, Elsevier, vol. 106(C), pages 209-226.
75. Sieg, Gernot, 2001. "A political business cycle with boundedly rational agents," European Journal of Political Economy, Elsevier, vol. 17(1), pages 39-52, March.
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