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rzvnbr committed Aug 4, 2023
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PenGym v0.1
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* First public release of PenGym, a pentesting training framework for
Reinforcement Learning (RL) agents. The main characteristic of the
framework is that it converts the actions generated by the RL agents
into real actions that are executed in a cyber range, thus making it
possible to train the pentesting agents in realistic networks.
10 changes: 10 additions & 0 deletions CONTRIBUTORS
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This file includes the main contributors to the PenGym project.

Implementation:
Huynh Phuong Thanh Nguyen
Razvan Beuran
Zhi Chen

Various contributions:
Kento Hasegawa
Kazuhide Fukushima

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