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Author

Taha M. Mahmoud

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Conference Jul 2026

Dual-Adaptive Z-Score PPO: Dynamic Clipping Using Action Confidence and Normalized Advantage Magnitude

Proximal Policy Optimization (PPO) is widely used in reinforcement learning because it provides stable on-policy learning with relatively simple implementation. However, standard PPO uses a fixed clipping threshold, applying the same trust-region width to all training samples even though the reliability of policy updat...

Taha M. Mahmoud, N. Kaabouch · 0 citations
Conference Jul 2026

Benchmarking Classical and Quantum Machine Learning for Intrusion Detection Across Multiple Datasets

This paper presents a comparative benchmarking study of classical and quantum machine learning models for intrusion detection using three benchmark datasets: NSL-KDD, UNSW-NB15, and MQTTEEB-D2025. The study evaluates how preprocessing choices, feature selection strategies, and quantum encoding methods influence model p...

Taha M. Mahmoud, N. Kaabouch · 0 citations

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