?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Multi-Agent+Training+beyond+Zero-Sum+with+Correlated+Equilibrium+Meta-Solvers&rft.creator=Marris%2C+Luke&rft.creator=Muller%2C+Paul&rft.creator=Lanctot%2C+Marc&rft.creator=Tuyls%2C+Karl&rft.creator=Graepel%2C+Thore&rft.description=Two-player%2C+constant-sum+games+are+well+studied+in+the+literature%2C+but+there+has+been+limited+progress+outside+of+this+setting.+We+propose+Joint+Policy-Space+Response+Oracles+(JPSRO)%2C+an+algorithm+for+training+agents+in+n-player%2C+general-sum+extensive+form+games%2C+which+provably+converges+to+an+equilibrium.+We+further+suggest+correlated+equilibria+(CE)+as+promising+meta-solvers%2C+and+propose+a+novel+solution+concept+Maximum+Gini+Correlated+Equilibrium+(MGCE)%2C+a+principled+and+computationally+efficient+family+of+solutions+for+solving+the+correlated+equilibrium+selection+problem.+We+conduct+several+experiments+using+CE+meta-solvers+for+JPSRO+and+demonstrate+convergence+on+n-player%2C+general-sum+games.&rft.publisher=Proceedings+of+Machine+Learning+Research&rft.contributor=Meila%2C+M&rft.contributor=Zhang%2C+T&rft.date=2021&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A+Meila%2C+M+and+Zhang%2C+T%2C+(eds.)+Proceedings+of+the+38th+International+Conference+on+Machine+Learning.++(pp.+pp.+7480-7491).++Proceedings+of+Machine+Learning+Research+(2021)+++++&rft.format=text&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10187244%2F1%2Fmarris21a.pdf&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10187244%2F&rft.rights=open