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Drew Fudenberg

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Learning and Equilibrium RefinementsMulti-Agent Reinforcement Learning and Bandit Learning2022-04-29
Shows that when agents are long lived and derive experimentation from discounted dynamic programming, limits called patiently stable profiles must be Nash…
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Learning in Games IEconomics and Computation Boot Camp 20152015-08-24
Argues that repeated play with simple belief updates — fictitious play — is analyzed by replacing discontinuous best responses with smooth ones and applying…
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Learning in Games IIEconomics and Computation Boot Camp 20152015-08-24
Analyzes learning in extensive form games where players observe only terminal nodes and shows repeated play can converge to outcomes that are self‑confirming…
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