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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. |
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This file includes the main contributors to the PenGym project. | ||
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Implementation: | ||
Huynh Phuong Thanh Nguyen | ||
Razvan Beuran | ||
Zhi Chen | ||
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Various contributions: | ||
Kento Hasegawa | ||
Kazuhide Fukushima |