Enhanced Cyber-Physical System Response with RL-RID-GridResponder

A new reinforcement learning-based engine, RL-RID-GridResponder, has been introduced to improve the resilience of cyber-physical power systems. By integrating role and interaction discovery (RID) to reduce action and state spaces, this approach provides scalable, optimal responses to threats such as Denial of Service (DoS) attacks and line outages. Tested on power system simulations, RL-RID-GridResponder quickly ensures secure, stable grid operations under various contingencies.

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