Article

Meta-PPO: Lightweight Meta-Control for Online Joint Hyperparameter Adaptation in Proximal Policy Optimization

2026-07-15

Abstract excerpt

<title>Abstract</title> <p>Proximal Policy Optimization (PPO) is a widely used deep reinforcement-learning algorithm because its clipped surrogate objective offers a practical compromise between update stability and implementation simplicity. However, PPO remains highly sensitive to manually specified hyperparameters, particularly the learning rate, clipping range, and entropy coefficient. Fixed or open-loop sche...

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Literature Corpus work: 581b1e75-7538-50f7-ab2a-76a228b1ac73
DOI: 10.21203/rs.3.rs-10273708/v1

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