microsoft / microsoft/CyberBattleSim
Consider designing defender as RL agent
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enhancement
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Description
I'm curious if this project will follow up by designing defender as an agent that can be trained with reinforcement learning algorithms and how we will achieve this based on the existing environment? Thanks in advance.
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First steps
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Research direction
Review the project's existing simulated network environment and automated-agent design first; the issue does not name specific files, entry points, or tests. The scope would need to be clarified around whether a trainable reinforcement-learning defender is wanted and what behavior or evaluation would define completion.
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Assessment
- Tech stack
- machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100