7 citations · 10 across the 10 of their papers we have counts for
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A model of discrete choice based on reinforcement learning under short-term memory
Misha Perepelitsa
A family of models of individual discrete choice are constructed by means of statistical averaging of choices made by a subject in a reinforcement learning process, where the subje…
RPS(1) Preferences
Misha Perepelitsa
We consider a model for decision making based on an adaptive, k-period, learning process where the priors are selected according to Von Neumann-Morgenstern expected utility princip…
Learning by Fictitious Play in Large Populations
Misha Perepelitsa
We consider learning by fictitious play in a large population of agents engaged in single-play, two-person rounds of a symmetric game, and derive a mean-filed type model for the co…
Adaptive Learning in Large Populations
Misha Perepelitsa
We consider the adaptive learning rule of Harley (1981) for behavior selection in symmetric conflict games in large populations. The rule uses organisms' past, accumulated rewards…