Heterogeneous beliefs and local information in stochastic fictitious play
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[1] A. W. Tucker,et al. Advances in game theory , 1964 .
[2] Glenn Ellison. Learning, Local Interaction, and Coordination , 1993 .
[3] Odile Brandière,et al. Some Pathological Traps for Stochastic Approximation , 1998 .
[4] I. Bateman,et al. A Test of the Theory of Reference-Dependent Preferences , 1997 .
[5] Martin Posch,et al. Attainability of boundary points under reinforcement learning , 2005, Games Econ. Behav..
[6] T. Koopmans,et al. Activity Analysis of Production and Allocation. , 1952 .
[7] William H. Sandholm,et al. ON THE GLOBAL CONVERGENCE OF STOCHASTIC FICTITIOUS PLAY , 2002 .
[8] Josef Hofbauer,et al. Learning in perturbed asymmetric games , 2005, Games Econ. Behav..
[9] William H. Sandholm,et al. Evolution in Bayesian games II: Stability of purified equilibria , 2007, J. Econ. Theory.
[10] M. Hirsch,et al. Mixed Equilibria and Dynamical Systems Arising from Fictitious Play in Perturbed Games , 1999 .
[11] L. Shapley. SOME TOPICS IN TWO-PERSON GAMES , 1963 .
[12] P. DeMarzo,et al. Persuasion Bias, Social Influence, and Uni-Dimensional Opinions , 2001 .
[13] E. Hilgard,et al. Theories of Learning , 1981 .
[14] Andreu Mas-Colell,et al. A General Class of Adaptive Strategies , 1999, J. Econ. Theory.
[15] H. Robbins. A Stochastic Approximation Method , 1951 .
[16] Nathaniel T. Wilcox,et al. Theories of Learning in Games and Heterogeneity Bias , 2006 .
[17] O. H. Brownlee,et al. ACTIVITY ANALYSIS OF PRODUCTION AND ALLOCATION , 1952 .
[18] Dean Phillips Foster,et al. Regret Testing: Learning to Play Nash Equilibrium Without Knowing You Have an Opponent , 2006 .
[19] Drew Fudenberg,et al. Random Matching in Adaptive Dynamics , 2006, Games Econ. Behav..
[20] H. Young,et al. Learning dynamics in games with stochastic perturbations , 1995 .
[21] Josef Hofbauer,et al. Stochastic Approximations and Differential Inclusions , 2005, SIAM J. Control. Optim..
[22] R. Pemantle,et al. Nonconvergence to Unstable Points in Urn Models and Stochastic Approximations , 1990 .
[23] Larry Samuelson,et al. Common Learning , 2006 .
[24] S. Vajda. Some topics in two-person games , 1971 .
[25] S. Hart,et al. A simple adaptive procedure leading to correlated equilibrium , 2000 .
[26] E. Hopkins. A Note on Best Response Dynamics , 1999 .
[27] Glenn Ellison,et al. Learning from Personal Experience: One Rational Guy and the Justification of Myopia , 1997 .
[28] D. Fudenberg,et al. Measuring Players' Losses in Experimental Games , 1997 .
[29] N. Pimlott. Learning from the neighbours. , 2012, Canadian family physician Medecin de famille canadien.
[30] William H. Sandholm,et al. Evolution in Bayesian games I: Theory , 2005, Games Econ. Behav..
[31] Sanjeev Goyal,et al. Learning from Neighbors , 1995 .
[32] Learning Processes, Mixed Equilibria and Dynamical Systems , 1999 .
[33] C. Conley. Isolated Invariant Sets and the Morse Index , 1978 .
[34] Drew Fudenberg,et al. Learning Purified Mixed Equilibria , 2000, J. Econ. Theory.
[35] M. Benaïm,et al. Deterministic Approximation of Stochastic Evolution in Games , 2003 .
[36] D. Fudenberg,et al. Steady state learning and Nash equilibrium , 1993 .
[37] Glenn Ellison,et al. Rules of Thumb for Social Learning , 1993, Journal of Political Economy.
[38] Larry Samuelson,et al. Common learning with intertemporal dependence , 2011, Int. J. Game Theory.
[39] B. Golub,et al. Naive Learning in Social Networks: Convergence, Influence and Wisdom of Crowds , 2007 .
[40] E. Hopkins. Two Competing Models of How People Learn in Games (first version) , 1999 .
[41] Odile Brandi Ere. SOME PATHOLOGICAL TRAPS FOR STOCHASTIC APPROXIMATION , 1998 .
[42] S. Hart,et al. A general class of adaptative strategies , 1999 .
[43] M. Benaïm. Dynamics of stochastic approximation algorithms , 1999 .
[44] J. Harsanyi. Games with randomly disturbed payoffs: A new rationale for mixed-strategy equilibrium points , 1973 .
[45] D. Freedman,et al. On the uniform consistency of Bayes estimates for multinomial probabilities , 1990 .
[46] J. Kiefer,et al. Stochastic Estimation of the Maximum of a Regression Function , 1952 .
[47] O. Brandière,et al. Les algorithmes stochastiques contournent-ils les pièges? , 1995 .
[48] Dean P. Foster,et al. Regret Testing: A Simple Payo-Based Procedure for Learning Nash Equilibrium , 2005 .
[49] Josef Hofbauer,et al. Learning in games with unstable equilibria , 2005, J. Econ. Theory.
[50] H. Young,et al. The Evolution of Conventions , 1993 .
[51] Josef Hofbauer,et al. Evolution in games with randomly disturbed payoffs , 2007, J. Econ. Theory.
[52] D. Fudenberg,et al. Self-confirming equilibrium , 1993 .
[53] J. Jordan. Three Problems in Learning Mixed-Strategy Nash Equilibria , 1993 .
[54] D. Fudenberg,et al. Consistency and Cautious Fictitious Play , 1995 .
[55] Drew Fudenberg,et al. Learning Purified Equilibria , 2000 .
[56] E. Hopkins. Learning, Matching and Aggregation , 1995 .
[57] S. Goyal,et al. Learning from neighbours , 1998 .
[58] Matthew O. Jackson,et al. Näıve Learning in Social Networks : Convergence , Influence , and the Wisdom of Crowds ∗ , 2007 .
[59] David M. Kreps,et al. Learning Mixed Equilibria , 1993 .