Recency, records and recaps: learning and non-equilibrium behavior in a simple decision problem

56 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multi-Agent Cooperation and the Emergence of (Natural) Language (2016, background): “A major question in game theory is whether equilibrium actually occurs in a game as convergence in learning is not guaranteed (Fudenberg & Peysakhovich, 2014; Roth & Erev, 1995).”
Fast Convergence of Regularized Learning in Games (2015, background): “[10] Drew Fudenberg and Alexander Peysakhovich.”
Maintaining cooperation in complex social dilemmas using deep reinforcement learning (2017, background): “However, recent work has shown that incorporating psychologically realistic models of human learning and social interaction can help those interested in designing systems that lead to good outcomes (Erev & Roth, 1998; Fudenberg & Peysakhovich, 2016).”
Prosocial learning agents solve generalized Stag Hunts better than selfish ones (2017, background): “, 2017) and also human learning strategies (Erev and Roth, 1998; Fudenberg and Peysakhovich, 2016) is an important practical question to extending this work.”