2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
NeurIPS 2020poster
Training multi-agent systems (MAS) to achieve realistic equilibria gives us a useful tool to understand and model real-world systems. We consider a general sum partially observable Markov game where agents of different types share a single policy network, conditioned on agent-specific information. T…