In POMGs with decoupled dynamics and underlying Markov potential structure, independent learners converge to approximate Nash equilibria with quasi-polynomial complexity under filter stability.
Partially observable Markov decision processes in robotics: A survey.IEEE Transactions on Robotics, 39(1):21–40
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Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
In POMGs with decoupled dynamics and underlying Markov potential structure, independent learners converge to approximate Nash equilibria with quasi-polynomial complexity under filter stability.