Masoud Nili

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—This paper deals with the problem of multi-agent learning of a population of players, engaged in a repeated normal-form game. Assuming boundedly-rational agents, we propose a model of social learning based on trial and error, called " social reinforcement learning ". This extension of well-known Q-learning algorithm, allows players within a population to(More)
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