Neural Replicator Dynamics

1 Jun 2019Daniel HennesDustin MorrillShayegan OmidshafieiRemi MunosJulien PerolatMarc LanctotAudrunas GruslysJean-Baptiste LespiauPaavo ParmasEdgar Duenez-GuzmanKarl Tuyls

Policy gradient and actor-critic algorithms form the basis of many commonly used training techniques in deep reinforcement learning. Using these algorithms in multiagent environments poses problems such as nonstationarity and instability... (read more)

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