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Cycling in a stochastic learning algorithm for normal form games
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Cited by:
- M. Keilbach & M. Posch, 1998. "Network Externalities and the Dynamics of Markets," Working Papers ir98089, International Institute for Applied Systems Analysis.
- Hopkins, Ed, 1999.
"A Note on Best Response Dynamics,"
Games and Economic Behavior, Elsevier, vol. 29(1-2), pages 138-150, October.
- Ed Hopkins, 1997. "A Note on Best Response Dynamics," Edinburgh School of Economics Discussion Paper Series 3, Edinburgh School of Economics, University of Edinburgh.
- Bervoets, Sebastian & Bravo, Mario & Faure, Mathieu, 2020.
"Learning with minimal information in continuous games,"
Theoretical Economics, Econometric Society, vol. 15(4), November.
- Sebastian Bervoets & Mario Bravo & Mathieu Faure, 2020. "Learning with minimal information in continuous games," Post-Print hal-02534257, HAL.
- Mengel, Friederike, 2012.
"Learning across games,"
Games and Economic Behavior, Elsevier, vol. 74(2), pages 601-619.
- Friederike Mengel, 2007. "Learning Across Games," Working Papers. Serie AD 2007-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Mertikopoulos, Panayotis & Sandholm, William H., 2024. "Nested replicator dynamics, nested logit choice, and similarity-based learning," Journal of Economic Theory, Elsevier, vol. 220(C).
- Ed Hopkins, 2002.
"Two Competing Models of How People Learn in Games,"
Econometrica, Econometric Society, vol. 70(6), pages 2141-2166, November.
- Ed Hopkins, 2000. "Two Competing Models of How People Learn in Games," Edinburgh School of Economics Discussion Paper Series 51, Edinburgh School of Economics, University of Edinburgh.
- Ed Hopkins, 2001. "Two Competing Models of How People Learn in Games," NajEcon Working Paper Reviews 625018000000000226, www.najecon.org.
- Ed Hopkins, 2001. "Two Competing Models of How People Learn in Games," Levine's Working Paper Archive 625018000000000226, David K. Levine.
- Mario Bravo & Mathieu Faure, 2013.
"Reinforcement Learning with Restrictions on the Action Set,"
AMSE Working Papers
1335, Aix-Marseille School of Economics, France, revised 01 Jul 2013.
- Mario Bravo & Mathieu Faure, 2015. "Reinforcement Learning with Restrictions on the Action Set," Post-Print hal-01457301, HAL.
- Laslier, Jean-Francois & Topol, Richard & Walliser, Bernard, 2001.
"A Behavioral Learning Process in Games,"
Games and Economic Behavior, Elsevier, vol. 37(2), pages 340-366, November.
- J.-F. Laslier & R. Topol & B. Walliser, 1999. "A behavioral learning process in games," THEMA Working Papers 99-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
- Laslier, J.-F. & Topol, R. & Walliser, B., 1999. "A Behavioral Learning Process in Games," Papers 99-03, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..
- 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.
- Mertikopoulos, Panayotis & Sandholm, William H., 2018. "Riemannian game dynamics," Journal of Economic Theory, Elsevier, vol. 177(C), pages 315-364.
- Güth Werner & Kliemt Hartmut & Peleg Bezalel, 2000.
"Co-evolution of Preferences and Information in Simple Games of Trust,"
German Economic Review, De Gruyter, vol. 1(1), pages 83-110, February.
- Werner Güth & Hartmut Kliemt & Bezalel Peleg, 2000. "Co‐evolution of Preferences and Information in Simple Games of Trust," German Economic Review, Verein für Socialpolitik, vol. 1(1), pages 83-110, February.
- Güth, Werner & Kliemt, Hartmut & Peleg, Bezalel, 1998. "Co-evolution of preferences and information in simple games of trust," SFB 373 Discussion Papers 1998,72, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Beggs, A.W., 2005.
"On the convergence of reinforcement learning,"
Journal of Economic Theory, Elsevier, vol. 122(1), pages 1-36, May.
- Alan Beggs, 2002. "On the Convergence of Reinforcement Learning," Economics Series Working Papers 96, University of Oxford, Department of Economics.
- Hopkins, Ed & Posch, Martin, 2005.
"Attainability of boundary points under reinforcement learning,"
Games and Economic Behavior, Elsevier, vol. 53(1), pages 110-125, October.
- Ed Hopkins & Martin Posch, 2003. "Attainability of Boundary Points under Reinforcement Learning," Edinburgh School of Economics Discussion Paper Series 79, Edinburgh School of Economics, University of Edinburgh.
- Ed Hopkins & Martin Posch, 2003. "Attainability of Boundary Points under Reinforcement Learning," Levine's Working Paper Archive 506439000000000350, David K. Levine.
- Cominetti, Roberto & Melo, Emerson & Sorin, Sylvain, 2010. "A payoff-based learning procedure and its application to traffic games," Games and Economic Behavior, Elsevier, vol. 70(1), pages 71-83, September.
- Alanyali, Murat, 2010. "A note on adjusted replicator dynamics in iterated games," Journal of Mathematical Economics, Elsevier, vol. 46(1), pages 86-98, January.
- Ianni, Antonella, 2014.
"Learning strict Nash equilibria through reinforcement,"
Journal of Mathematical Economics, Elsevier, vol. 50(C), pages 148-155.
- Ianni, Antonella, 2011. "Learning Strict Nash Equilibria through Reinforcement," MPRA Paper 33936, University Library of Munich, Germany.
- Giovanni Dosi & Marco Faillo & Luigi Marengo, 2018. "Beyond "Bounded Rationality": Behaviours and Learning in Complex Evolving Worlds," LEM Papers Series 2018/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Windrum, Paul, 1999. "Simulation models of technological innovation: A Review," Research Memorandum 005, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
- Possajennikov, A., 1997.
"An Analysis of a Simple Reinforcement Dynamics : Learning to Play an "Egalitarian" Equilibrium,"
Discussion Paper
1997-19, Tilburg University, Center for Economic Research.
- Possajennikov, A., 1997. "An Analysis of a Simple Reinforcement Dynamics : Learning to Play an "Egalitarian" Equilibrium," Other publications TiSEM d415ae0d-b06b-4a63-9dcc-e, Tilburg University, School of Economics and Management.
- Ianni, A., 2002. "Reinforcement learning and the power law of practice: some analytical results," Discussion Paper Series In Economics And Econometrics 0203, Economics Division, School of Social Sciences, University of Southampton.
- Mario Bravo, 2016. "An Adjusted Payoff-Based Procedure for Normal Form Games," Mathematics of Operations Research, INFORMS, vol. 41(4), pages 1469-1483, November.
- Georgios Chasparis & Jeff Shamma & Anders Rantzer, 2015. "Nonconvergence to saddle boundary points under perturbed reinforcement learning," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(3), pages 667-699, August.
- 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.
- Darmon, Eric & Waldeck, Roger, 2005. "Convergence of reinforcement learning to Nash equilibrium: A search-market experiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 119-130.
- Roger Waldeck & Eric Darmon, 2006. "Can boundedly rational sellers learn to play Nash?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 1(2), pages 147-169, November.
- Max Keilbach, 1999. "Network Externalities and the Path Dependence of Markets: Will Bill Gates Make It?," Computing in Economics and Finance 1999 711, Society for Computational Economics.
- Norman, Thomas W.L., 2023. "Pigouvian algorithmic platform design," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 322-332.
- M. Posch & A. Pichler & K. Sigmund, 1998. "The Efficiency of Adapting Aspiration Levels," Working Papers ir98103, International Institute for Applied Systems Analysis.
- Antonio Cabrales & Walter Garcia Fontes, 2000. "Estimating learning models from experimental data," Economics Working Papers 501, Department of Economics and Business, Universitat Pompeu Fabra.