An inexact augmented Lagrangian method with projected Q-ascent yields global last-iterate convergence guarantees for constrained MDP policy optimization, extending from tabular to log-linear and non-linear policies.
Minimizing this surrogate carries out the forward-KL projection, yielding the projected PQA update ( PPQA)
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Augmented Lagrangian Method for Last-Iterate Convergence for Constrained MDPs
An inexact augmented Lagrangian method with projected Q-ascent yields global last-iterate convergence guarantees for constrained MDP policy optimization, extending from tabular to log-linear and non-linear policies.