hsvgbkhgbv / SQDDPG

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.

Date Created 2019-01-17 (5 years ago)
Commits 367 (last one 2 years ago)
Stargazers 107 (0 this week)
Watchers 4 (0 this week)
Forks 42
License unknown
Ranking

RepositoryStats indexes 529,266 repositories, of these hsvgbkhgbv/SQDDPG is ranked #258,329 (51st percentile) for total stargazers, and #352,986 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #46,379/102,093.

hsvgbkhgbv/SQDDPG is also tagged with popular topics, for these it's ranked: pytorch (#3,257/5551),  framework (#1,115/1680),  reinforcement-learning (#665/1174)

Other Information

hsvgbkhgbv/SQDDPG has 1 open pull request on Github, 13 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 6 closed issues.

There have been 2 releases, the latest one was published on 2019-11-19 (4 years ago) with the name AAAI2020 camera-ready.

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1 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2024-06-06 @ 02:40am, id: 166261215 / R_kgDOCejx3w