A Closed-Loop Non-Asymptotic Convergence Analysis of PPO with Learned Critics and Clipping

Name: A Closed-Loop Non-Asymptotic Convergence Analysis of PPO with Learned Critics and Clipping
Uploaded: 2026-10-18T01:30:08.764857+00:00
Duration: 259 s
Description: This research analyzes PPO-Clip, a closed-loop actor-critic system using learned critics and clipping. It provides explicit non-asymptotic convergence guarantees for policy stationarity and critic tracking accuracy. The findings quantify how parameters like the coupling strength $\rho$ and KL budget affect finite-time error bounds, offering practical guidance for tuning hyperparameters.

This research analyzes PPO-Clip, a closed-loop actor-critic system using learned critics and clipping. It provides explicit non-asymptotic convergence guarantees for policy stationarity and critic tracking accuracy. The findings quantify how parameters like the coupling strength $\rho$ and KL budget affect finite-time error bounds, offering practical guidance for tuning hyperparameters.

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