An adaptive learning model with foregone payoff information

DOI10.1515/bejte-2013-0043zbMath1375.91054OpenAlexW2038675652MaRDI QIDQ1674985

Naoki Funai

Publication date: 26 October 2017

Published in: The B. E. Journal of Theoretical Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/bejte-2013-0043

zbMATH Keywords

stochastic approximationadaptive learningforegone payoff

Mathematics Subject Classification ID

Decision theory (91B06) Rationality and learning in game theory (91A26)

Related Items (1)

Convergence results on stochastic adaptive learning

Cites Work

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• A behavioral learning process in games
• A payoff-based learning procedure and its application to traffic games
• Does observation of others affect learning in strategic environments? An experimental study
• Payoff assessments without probabilities: a simple dynamic model of choice
• Learning mixed equilibria
• Asynchronous stochastic approximation and Q-learning
• On the convergence of reinforcement learning
• \({\mathcal Q}\)-learning
• Mixed equilibria and dynamical systems arising from fictitious play in perturbed games
• Optimal properties of stimulus-response learning models.
• Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term
• Quantal response equilibria for normal form games
• Foregone with the wind: Indirect payoff information and its implications for choice
• Experience-weighted Attraction Learning in Normal Form Games
• Individual Q-Learning in Normal Form Games
• Two Competing Models of How People Learn in Games
• On the Global Convergence of Stochastic Fictitious Play

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