Countering Feedback Delays in Multi-Agent Learning

NeurIPS 2017 Zhengyuan ZhouPanayotis MertikopoulosNicholas BambosPeter W. GlynnClaire Tomlin

We consider a model of game-theoretic learning based on online mirror descent (OMD) with asynchronous and delayed feedback information. Instead of focusing on specific games, we consider a broad class of continuous games defined by the general equilibrium stability notion, which we call λ-variational stability... (read more)

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