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Zhen-Xing Gao

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#reinforcement learning Open access Sep 2026

Quantifying Pilot Operational Deviations Based on Flight Data via Inverse Reinforcement Learning and Conformal Prediction

Threshold-based flight data monitoring (FDM) identifies parameter exceedances but provides limited visibility into gradual operational deviation within nominal operating bounds. This study presents a three-layer framework for continuous operational deviation quantification from quick access recorder (QAR) data. A stand...

Ta Chen, Zhen-Xing Gao, Yang-Yang Zhang · 0 citations
Open access Aug 2026

Explainable Reinforcement Learning Framework for Autonomous Windshear Escape with Policy Distillation

This study proposes an explainable, data-driven framework integrating active-reward proximal policy optimization (AR-PPO), which successfully distills black-box AI strategies into verifiable, physics-informed standard operating procedures (SOPs), providing a highly transparent and robust solution for autonomous windshe...

Yi-Tan Wang, Yang-Yang Zhang, Zhen-Xing Gao · 0 citations

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