On Mean Field Games for Agents With Langevin Dynamics
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DOI: 10.1109/tcns.2019.2896975
Abstract: Mean field games (MFG) have emerged as a viable tool in the analysis of large-scale self-organizing networked systems. In particular, MFGs provide a game-theoretic optimal control interpretation of the emergent behavior of noncooperative agents. The… read more here.
Keywords: agents langevin; games agents; langevin dynamics; mean field ... See more keywords