Consider designing defender as RL agent
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 20/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- machine-learning
- Domain
- machine-learning
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.
Written by the indexing model from the issue text.
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.
- Dominant language
- Jupyter Notebook
- Stars
- 1.8k
- Forks
- 286
- Avg merge
- 4h 35m
- Merged PRs (30d)
- 12
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