policy
CybORG-CAGE-1-Public
Mel-Meijer · PyTorch
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Overview
Name
CybORG-CAGE-1-Public
Author
Mel-Meijer
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
BSc Computer Science with Security and Forensics Final Project. Explores the capability of autonomous deep reinforcement learning models to defend a network against a simulated attacker in the CAGE challenge 1 environment scenario. Trains and compares PPO, DQN, and A2C in their ability to defend a n
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
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