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Based on our Paper: Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN. We want to make our changed version more accessible. It provides the following additional features:
Wiretapping
Credentials (up to 10)
Vulnerabilities
It could be better to generate a separate branch or link the fork.
@Namron2000 Nice work!
I’m planning to write my master’s thesis in the field of reinforcement learning and would like to use NASim for my experiments. I’m especially interested in the features from your implementation and would like to reference your work.
Would it be possible for you to create a fork or share your code?
Best regards,
Alois Vollmaier
University of Applied Sciences FH Joanneum, Austria
@Namron2000 Nice work! I’m planning to write my master’s thesis in the field of reinforcement learning and would like to use NASim for my experiments. I’m especially interested in the features from your implementation and would like to reference your work.
Would it be possible for you to create a fork or share your code?
Best regards, Alois Vollmaier University of Applied Sciences FH Joanneum, Austria
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Hey,
Based on our Paper: Evaluation of Reinforcement Learning for Autonomous Penetration Testing using A3C, Q-learning and DQN. We want to make our changed version more accessible. It provides the following additional features:
It could be better to generate a separate branch or link the fork.