The paper learns adaptive resilience metrics as reward functions using adversarial inverse reinforcement learning and shows these reduce episode lengths versus PPO in cyber-physical power system restoration tasks.
Distribution system restoration with microgrids using spanning tree search,
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ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning
The paper learns adaptive resilience metrics as reward functions using adversarial inverse reinforcement learning and shows these reduce episode lengths versus PPO in cyber-physical power system restoration tasks.