Convergence of Multiagent Learning Systems for Traffic control

In three linesTheoretical analysis of convergence for MARL algorithms in urban traffic control. Authors formalize stability of multi-agent systems using independent Q-learning on each traffic signal, extending single-agent asynchronous value iteration convergence proofs to the multi-agent case via stochastic approximation methods.

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