cage-challenge / cage-challenge-4

The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario.

Date Created 2024-01-19 (9 months ago)

Commits 38 (last one 6 months ago)

Stargazers 40 (0 this week)

Watchers 4 (0 this week)

Forks 10

License other

Ranking

RepositoryStats indexes 579,238 repositories, of these cage-challenge/cage-challenge-4 is ranked #508,847 (12th percentile) for total stargazers, and #371,611 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,433/115,001.

cage-challenge/cage-challenge-4 is also tagged with popular topics, for these it's ranked: reinforcement-learning (#1,152/1293), cybersecurity (#806/927)

Other Information

cage-challenge/cage-challenge-4 has 5 open pull requests on Github, 9 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 8 open issues and 25 closed issues.

Homepage URL: https://cage-challenge.github.io/cage-challenge-4/

All Topics

cybersecurity reinforcement-learning multiagent-reinforcement-learning

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38 commits on the default branch (main) since jan '22

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updated: 2024-11-05 @ 07:54pm, id: 745330152 / R_kgDOLGzV6A