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Eric Mazumdar

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Policy Gradients in General-Sum Dynamic Games: When Do They Even Converge?Multi-Agent Reinforcement Learning and Bandit Learning2022-04-29
Shows that policy gradient on general-sum linear-quadratic games fails to guarantee asymptotic convergence: Nash equilibria can be strict saddle points of the…
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Learning In The Presence Of Strategic Agents: Dynamics, Equilibria, And ConvergenceMeet the Fellows Welcome Event2021-09-08
Shows that gradient play in nonconvex general-sum continuous games often fails: many Nash equilibria are locally unstable so basins of attraction are measure…
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