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Adaptive network reliability analysis: Methodology and applications to power grid
Flow network models can capture the underlying physics and operational constraints of many networked systems including the power grid and transportation and water networks.
Lyapunov-based uncertainty-aware safe reinforcement learning
Although recent advances in safe RL have enabled learning safe policies in CMDPs, these safety requirements should be satisfied during both training and in the deployment process.
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