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Parametric Resonance in Primal-Dual Learning for Slowly Non-Stationary Constrained MDPs

arXiv:2610.23788v1 Announce Type: new Abstract: Primal-dual methods for constrained Markov decision processes are analyzed under a two-timescale assumption, with non-stationarity entering through two channels. In the additive channel, where the constraint level oscillates, the dual oscillation satu…

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  1. 2026-10-19 04:00 · arXiv stat.ML
    Parametric Resonance in Primal-Dual Learning for Slowly Non-Stationary Constrained MDPs

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