Predicting and Understanding Initial Play
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[1] TWO-WEEK Loan COpy,et al. University of California , 1886, The American journal of dental science.
[2] Jstor,et al. Invention in the Industrial Research Laboratory , 1963, Journal of Political Economy.
[3] R. Thaler,et al. THE BEHAVIORAL LIFE‐CYCLE HYPOTHESIS , 1988 .
[4] J. R. Quinlan. Learning With Continuous Classes , 1992 .
[5] D. Stahl,et al. Experimental evidence on players' models of other players , 1994 .
[6] Stephen Morris,et al. P-dominance and belief potential , 2010 .
[7] D. Stahl,et al. On Players' Models of Other Players: Theory and Experimental Evidence , 1995 .
[8] V. Crawford. Adaptive dynamics in coordination games , 1995 .
[9] Daniel Friedman,et al. Individual Learning in Normal Form Games: Some Laboratory Results☆☆☆ , 1997 .
[10] A. Roth,et al. Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria , 1998 .
[11] D. Fudenberg,et al. The Theory of Learning in Games , 1998 .
[12] Miguel A. Costa-Gomes,et al. Cognition and Behavior in Normal-Form Games: An Experimental Study , 1998 .
[13] Colin Camerer,et al. Experience‐weighted Attraction Learning in Normal Form Games , 1999 .
[14] Dale O. Stahl,et al. Rule Learning in Symmetric Normal-Form Games: Theory and Evidence , 2000, Games Econ. Behav..
[15] M. Rabin. Risk Aversion and Expected Utility Theory: A Calibration Theorem , 2000 .
[16] D. Stahl,et al. Modeling and Testing for Heterogeneity in Observed Strategic Behavior , 2001, Review of Economics and Statistics.
[17] A. Schotter,et al. An Experimental Study of Belief Learning Using Elicited Beliefs , 2002 .
[18] Charles A. Holt,et al. Risk Aversion and Incentive Effects , 2002 .
[19] D. Stahl,et al. Level-n bounded rationality and dominated strategies in normal-form games , 2008 .
[20] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[21] Colin Camerer,et al. A Cognitive Hierarchy Model of Games , 2004 .
[22] Miguel A. Costa-Gomes,et al. Stated Beliefs and Play in Normal-Form Games , 2007 .
[23] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[24] Eibe Frank,et al. Logistic Model Trees , 2003, Machine Learning.
[25] A. Timmermann. Forecast Combinations , 2005 .
[26] C. Granger,et al. Handbook of Economic Forecasting , 2006 .
[27] D. Fudenberg,et al. A Dual Self Model of Impulse Control , 2004, The American economic review.
[28] D. Stahl,et al. Equilibrium selection and bounded rationality in symmetric normal-form games , 2007 .
[29] R. Aumann,et al. Unraveling in Guessing Games : An Experimental Study , 2007 .
[30] Colin Camerer,et al. Experienced-Weighted Attraction Learning in Normal Form Games , 2007 .
[31] V. Crawford,et al. Level-k Auctions: Can a Non-Equilibrium Model of Strategic Thinking Explain the Winner's Curse and Overbidding in Private-Value Auctions? , 2007 .
[32] Robert L. Slonim,et al. Learning and equilibrium as useful approximations: Accuracy of prediction on randomly selected constant sum games , 2007 .
[33] D. Sgroi,et al. Learning to play 3×3 games: Neural networks as bounded-rational players , 2009 .
[34] Thomas R. Palfrey,et al. Heterogeneous quantal response equilibrium and cognitive hierarchies , 2006, J. Econ. Theory.
[35] Panagiotis G. Ipeirotis,et al. Running Experiments on Amazon Mechanical Turk , 2010, Judgment and Decision Making.
[36] B. D. Bruin,et al. Normal Form Games , 2010 .
[37] D. Fudenberg,et al. Risk, Delay, and Convex Self-Control Costs , 2010 .
[38] Alvin E. Roth,et al. A Choice Prediction Competition for Social Preferences in Simple Extensive Form Games: An Introduction , 2011, Games.
[39] R. Raghavan. Is it strategic , 2011 .
[40] Asen Ivanov,et al. Attitudes to ambiguity in one-shot normal-form games: An experimental study , 2011, Games Econ. Behav..
[41] J. Doug Tygar,et al. Adversarial machine learning , 2019, AISec '11.
[42] Reza Ebrahimpour,et al. Mixture of experts: a literature survey , 2014, Artificial Intelligence Review.
[43] David G. Rand,et al. The promise of Mechanical Turk: how online labor markets can help theorists run behavioral experiments. , 2012, Journal of theoretical biology.
[44] Miguel A. Costa-Gomes,et al. Structural Models of Nonequilibrium Strategic Thinking: Theory, Evidence, and Applications , 2013 .
[45] Kevin Leyton-Brown,et al. Level-0 meta-models for predicting human behavior in games , 2014, EC.
[46] Marco Del Negro,et al. Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance , 2014 .
[47] Thomas J. Leeper,et al. The Generalizability of Survey Experiments* , 2015, Journal of Experimental Political Science.
[48] Using Methods from Machine Learning to Evaluate Behavioral Models of Choice Under Risk and Ambiguity , 2015 .
[49] Kevin Leyton-Brown,et al. Deep Learning for Predicting Human Strategic Behavior , 2016, NIPS.
[50] Teck-Hua Ho,et al. A generalized cognitive hierarchy model of games , 2016, Games Econ. Behav..
[51] Scott Clifford,et al. Validity and Mechanical Turk: An assessment of exclusion methods and interactive experiments , 2017, Comput. Hum. Behav..
[52] Annie Liang,et al. The Theory is Predictive, but is it Complete?: An Application to Human Perception of Randomness , 2017, EC.
[53] Mel W. Khaw,et al. Temporal Discounting and Search Habits: Evidence for a Task-Dependent Relationship , 2018, Front. Psychol..
[54] E. Snowberg,et al. Testing the Waters: Behavior Across Participant Pools , 2018, American Economic Review.
[55] Stefano DellaVigna,et al. Predicting Experimental Results: Who Knows What? , 2016, Journal of Political Economy.
[56] Alec Smith,et al. Dynamic Unstructured Bargaining with Private Information: Theory, Experiment, and Outcome Prediction via Machine Learning , 2019, Manag. Sci..
[57] EbrahimpourReza,et al. Mixture-of-Experts , 2022, Encyclopedia of Big Data.