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 368 (last one 17 days ago)

Stargazers 114 (0 this week)

Watchers 4 (0 this week)

Forks 42

License unknown

Ranking

RepositoryStats indexes 584,353 repositories, of these hsvgbkhgbv/SQDDPG is ranked #265,887 (54th percentile) for total stargazers, and #373,290 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #48,856/116,326.

hsvgbkhgbv/SQDDPG is also tagged with popular topics, for these it's ranked: pytorch (#3,333/5948), framework (#1,137/1799), reinforcement-learning (#688/1309)

Other Information

hsvgbkhgbv/SQDDPG has 1 open pull request on Github, 14 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 (5 years ago) with the name AAAI2020 camera-ready.

All Topics

marl sqddpg pytorch framework openai-gym multi-agent-rl policy-gradient shapley-q-value reinforcement-learning multiagent-reinforcement-learning multi-agent-reinforcement-learning

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

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

updated: 2024-11-05 @ 10:55am, id: 166261215 / R_kgDOCejx3w