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Embry-Riddle Aeronautical University,Department of Electrical Engineering and Computer Science,Daytona Beach,USA
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Achieving a 97.5% collision avoidance success rate, this RL-based approach outshines traditional methods in the increasingly congested orbital environment.
Achieving 99.68% accuracy, this dueling Q-learning model not only outperforms traditional IDS methods but also offers explainability through SHAP, bridging the gap between performance and interpretability in cybersecurity.
