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Network Attack Simulator (NASim) is a lightweight, high-level Python simulator designed for rapid testing of autonomous penetration testing agents using reinforcement learning and planning. It models key network pen-testing features like large state/action spaces, partial observability, and varied network topologies, following the Gymnasium interface.
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