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Sudhakar Kambhampati

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#reinforcement learning Open access Sep 2026

Toward trustworthy adaptive software reliability engineering: An explainable deep reinforcement learning framework

Ensuring the dependable operation of modern software systems under dynamic and non-stationary operating conditions remains a major challenge in software reliability engineering. Although recent deep reinforcement learning (DRL)-based approaches have demonstrated promising capabilities for closed-loop adaptation of soft...

Sudhakar Kambhampati, G. V. Krishna · 0 citations

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